the success of our CDT is made possible by the strong network of researchers, clinicians and high-achieving students, all steered by a strong management team
I joined the CDT after completing a 4-year BSc in Physics and an MSc in Physical Sciences in Medicine. During my MSc I was exposed to the exciting “world” of Medical Imaging, which I immediately developed an interest for. The application of technology to medicine has always been a profound interest of mine. My love for research and my interest in Medical Imaging made the CDT an ideal option for me. Also the CDT will enable me the opportunity to work within a multidisciplinary research environment.
I have embarked on a project to investigate the application of functional imaging to planning and verification of cancer patients undergoing proton therapy. Potentially this application could have a significant clinical impact. Proton therapy is an advanced and highly precise form of radiotherapy treatment that enables a more precise targeting of tumour sites within a patient. It is crucial that imaging technology enables the patients to receive the highest quality treatment possible in order to improve clinical outcome.
Along with my Bachelor’s degree in physics, I obtained my Master’s degree in condensed matter physics at the Department of Physics at Università degli Studi di Bari. I carried out my master thesis research at Université Paris Sud, Institute of Fundamental Electronics in the NanoBioPhotonics group under the supervision of Prof. Niko Hildelbrandt.
I worked on FRET immunoassays (based on terbium and quantum dots bioconjugates) for prostate cancer diagnostics.
After my graduation I did an Internship in Medical Physics and Radioprotection at University Hospital Center Policlinico di Bari and an experience in the Emodynamic Lab of the same Hospital.
Being in contact with the medical environment has made me more and more interested in the imaging world and in the research behind the development of novel imaging techniques to facilitate early diagnosis, treatment plans and provide more sensitive and therapy specific methods to assess treatment response.
In September 2015 I have had the chance to join the CDT in Medical Imaging. My project will be carried on with the Cardiovascular Imaging Group (Dr Vivek Muthurangu, Dr Jennifer Steeden ) at Great Ormond Street Hospital for Children and its aim will be the development of MRI sequences for 4D flow encoding.
4D flow MRI allows for the evaluation of blood flow patterns and has the potential to be a unique hemodynamic tools which might aid clinicians in the diagnosis and therapeutic management of cardiovascular diseases
I am a medical doctor with a strong interest in medical imaging and radiology. I have a combined background in clinical medicine (MB BChir), physics (BA) and medical image computing (MSc). Whilst working as a clinician in the UK I realised how central imaging investigations have become to the diagnosis and treatment of patients in modern medicine. I strongly believe that medical imaging still has a great deal of potential that could be unlocked by focused research, especially in the context of recent advancements in the fields of data science and machine learning.
I have joined the CDT program at UCL to work in the field of neuroimaging. My research involves investigating new ways of combining imaging information from an array of novel MRI modalities and harnessing machine learning techniques to improve computer-aided detection of abnormalities in the human brain. Specifically, I am trying to automate the detection of small and often very subtle areas of abnormal brain tissue which are frequently the underlying cause of seizures in patients with focal epilepsy. Detecting these lesions can help guide curative neurosurgical procedures in epileptic patients who continue to live with frequent seizures despite conventional treatment with anti-epileptic drugs.
Bianca De Blasi
I joined the CDT after my 4-year MEng in Bioengineering at Imperial College London. During my undergraduate programme, I became interested in medical imaging and its potential for disease detection, monitoring and treatment. At the same time, I carried out my final year project on cognitive neuroscience, from which I became fascinated by the complexity of the brain and its mechanisms.
After my undergraduate, I was looking for a place where cutting edge research, related to neuroimaging, could be directly translated to the clinic for the patients’ benefit. I found this possibility in the CDT where multidisciplinary teams work together to develop or improve medical imaging techniques with the final aim of clinical translation.
I am now looking forward to starting my MRes. I would like to be involved in a project in which advanced imaging techniques are used to identify biomarkers of neurological disorders leading to early detection and development of effective therapies which could eventually benefit patients.
I consider myself a computer scientist and I got introduced to the fields of image guided therapy and computer assisted interventions during my work on my master’s thesis, at the University of British Columbia in Vancouver, Canada. My thesis topic was related to real-time augmentation of 3D ultrasound using a statistical model. After graduating my master’s, I started working a research engineer at the medical imaging laboratory at hospital Gregorio Marañón in Madrid, Spain. There I worked on two separate projects. The first project involved facilitating breast cancer tumor removal (lumpectomy) using electromagnetically tracked ultrasound and surgical instruments. The second, to perform surgical cavity reconstruction using a tracked single-point measuring sensor. After my time in Madrid, the next natural step was to pursue a PhD. Something I consider myself fortunate being able to do at the CDT.
I obtained a 3+2 Bachelor plus Master’s in Biomedical Engineering and Biophysics at the Faculty of Sciences of the University of Lisbon. During the Bachelor, I became fascinated on how we can use computer science to study the human brain functions and brain behaviour when neuropathologies are present. In order to explore this interest, I did a summer internship in the Department of Computer Science, University College of London. This internship came enforce my interest by neuroscience. For that reason, I decided to do my Master’s Project on the field of medical imaging techniques applied to brain study. During my Masters Project, developed in Division of Anaesthesia at University of Cambridge, I performed a quantitative comparison of multi-centre MRI data for mild to severe Traumatic Brain Injury. I decided to apply to TIG because I would like to perform my PhD in a stimulating research environment, where I can improve my knowledge, develop my abilities and grow as a person as well as a researcher in order to be a better professional. I joined to the group in 2015, and I am currently working on context of the extraction of imaging biomarkers for quantification of prion disease progression.
I have joined the CDT after graduating from King’s College London with a BEng in Biomedical Engineering. My undergraduate project investigated the effect of image resolution on the accuracy of respiratory motion correction of coronary MRA with 2D image navigators. My research interests lie mainly in image processing and magnetic resonance imaging and I hope that my training in the CDT will help me to further pursue these interests and allow me to obtain the knowledge and skills needed for carrying out research in the field of medical imaging
I am part of the CDT programme for Medical Imaging at UCL, following on from my undergraduate degree in Biomedical Engineering at the University of Glasgow. During this time, I completed a masters project looking at developing a virtual reality game to be used in rehabilitation from stroke injury. I was attracted to the CDT due to the fact that there is a mixture of clinical and non-clinical supervisors to as well as a wide range of different backgrounds to work with in the lab. This allows different perspectives on a problem and means that the working environment allows collaborative and multiple disciplinary projects to be carried out. My project will be on the role of dynamic MRI for quantitative investigation of gastrointestinal physiology which will involve looking at motility in the small bowel using moving, cine MRI images with the potential to link this movement to certain diseases.
I joined the UCL Microstructure Imaging Group after graduating from both my BSc (in Computer Science and Information Technology) and my MSc (in Parallel and Distributed Computing) at University Politehnica of Bucharest. During that time, I held a one year intern position at Intel where I worked on improving the quality of open source projects, I collaborated with the Laboratory of Digital Holography from my University’s Physics Department where I focused on extracting relevant features from phase images of cells and I was part of CERN’s Openlab summer student programme where I developed dashboards for monitoring the LHC’s batch service. At UCL, I am working under Dr Gary Zhang’s supervision on developing novel MRI techniques to measure progression in Parkinson’s Disease.
I am currently studying for a Ph.D. under the supervision of Prof Xavier Golay. The project aims at the establishment of a standard pipeline for Chemical Exchange Saturation Transfer (CEST) Imaging, a recent MRI technique. Therefore, a rapid Bayesian-based image-processing tool will be developed, which will eventually help with the application of CEST Imaging in clinical routine. The project is in cooperation with and funded by Olea Medical.
Prior to the start of the programme, I graduated from Heidelberg University and obtained a master’s degree in physics. I wrote my master’s thesis in the field of Medical Physics at the German Cancer Research Center working on different measurement techniques to determine the inhomogeneity of the main magnetic field in ultra-high field MRI.
I joined the Translational Imaging Group at the CDT in Medical Imaging in the fall 2015. After obtaining the B.Sc. and M.Sc. in Biomedical Engineering at the Polytechnic of Milan (Italy), I took part in different research projects at the Italian National Research Council (CNR) by collaborating as a research fellow with the Institute of Electronics, Computer and Telecommunication Engineering (IEIIT) in 2013 and with the Institute of Molecular Bioimaging and Physiology (IBFM) in 2014 respectively.
My scientific interests cover digital signal processing, numerical computing and quantitative image analysis for clinical applications. I am currently working on the Cerebrovascular Image Analysis project, which aims at combining features from multi-modal medical imaging (MRI, CT) to determine and quantitatively characterise subject-specific brain vascular models in healthy and disease with applications to neuroradiology.
As a biomedical engineer specialised in the study of electronics and design of biomedical and healthcare equipment, I am fascinated by both the theoretical and practical aspects of designing technologies with the objective of improving human lives. I believe there is a huge gap in terms of quality of treatments and great potential and demand in the field of bioengineering. After spending four years on the MEng Biomedical Engineering at Imperial College London, I have now joined the Centre for Advanced Biomedical Imaging at UCL. My aim is to develop a novel imaging technique that can detect Alzheimer’s disease in its early stages. I believe I’ve joined an outstanding department in terms of quality of research in this area, hence it’s a great pleasure to be part of this exceptional organization for my PhD studies.
I joined UCL from Imperial, where I did a 4-year MSci in physics. I chose the CDT in Medical Imaging because I was keen to apply my physics to an end with tangible real-world benefits. I am particularly excited by the prospect of working with scientists, engineers and clinicians in a multi-disciplinary research environment.
I am working on a project with Dr Terence Leung and Dr Judith Meek to develop novel contactless optical imaging techniques to monitor newborn babies. Many newborns require intensive care in their first days during which time several of their physiological parameters need to be closely monitored. This research aims use contactless optical imaging to improve accuracy and expand the range of information available to neonatal nurses. It is hoped that this will provide a variety of benefits including providing early warning of conditions such as sepsis and allowing the monitoring equipment to be less intrusive.
I studied physics as an undergraduate at the University of Warwick, where in my final year I chose a project in medical physics developing an automated technique for segmenting the cerebral vasculature from CT scans. After graduating I pursued my interest in medical imaging through the NHS Scientist Training Programme, which combines working as a medical physicist in a hospital with an MSc in Medical Physics. I specialised in MRI and ultrasound, and for my MSc thesis investigated methods for improving the characterisation of multiple sclerosis using MR images of the brain and spinal cord.
I joined the CDT in Medical Imaging in September 2015. My research here involves investigating structural and functional connectivity as a whole brain system and modelling the effects of different disease mechanisms on the overall function of the brain.
I joined the Translational Imaging Group in September 2015 as a MRes/PhD student at the CDT in Medical Imaging, after obtaining a B.Sc. and a M.Sc. in Physics at the University of Milano-Bicocca. During the academic studies I developed a strong interest in Medical Physics, especially during my Master thesis project, when I worked on Monte Carlo simulations for diagnostic dosimetry. Thanks to the collaboration with the Health Physics Department of Niguarda Hospital in Milan, I learnt how important the cooperation between clinicians and scientists can be in this field. For this reason, I decided to take part to this CDT at UCL, as it offers a unique multidisciplinary environment for forefront research. Here, I will work on a project named “The use of 3D Computer Tomography for musculoskeletal disease computational anatomy”, that aims to develop novel methodologies to study musculoskeletal system variability at a population level.
I have obtained BSc and MSc degrees in Biomedical Engineering from the Technical University of Lisbon. My masters project was focused on the implementation of a 3D ultrasound acquisition system to aid in a robotically assisted prostate biopsy. During this degree I also had the opportunity of working within the Flextension Project in the University of Twente, Netherlands. Here, I analysed the performance of different human-interface controls in a predefined visual based tracking task.
I have joined the CDT in 2015 to work in the project “Image guidance in Abdominal Surgery”. My research aims the implementation of new solutions to fuse live intra-operative laparoscopic ultrasound data of the liver with its respective pre-operative CT.
I initially studied an integrated Masters in Aeronautical and Aerospace Engineering at the University of Southampton. As the engineering department was large I had scope to study a wide range of modules including ones from other disciplines. For my third year thesis I chose to do a bioengineering project in building a mathematical model of glucose transport across the placenta. This sparked my interest in Medical Physics and Bioengineering, as I realised the skills I had learnt in Aeronatuical Engineering were transferable and applicable in a wide range of interdisciplinary subjects. I am part of the Biomedical Ultrasound Group researching into numerical models for the Fabry-Perot fibre optic hydrophone.
I obtained my Bachelor degree in Economic Cybernetics, Statistics and Informatics in Bucharest, Romania with an Erasmus semester in the Hanze, University of Applied Sciences in Groningen, the Netherlands. With a wish to work on imaging, I continued with a MSc. in Computer Graphics, Vision and Imaging at UCL. My Master project looked into a faster spectral characterization of cameras for a spectrophotometric intracutaneous analysis (SIAscopy) pipeline. By taking a RGB image of burnt tissue, the application predicts the amount of blood and melanin in the skin, in order to help clinicians make a faster and more accurate diagnosis. I have joined the CDT to work on the project “Image Guidance in Abdominal Surgery”. My research looks into computer vision methods to facilitate an accurate overlay of pre-operative data during laparoscopic liver surgery. This approach aims to provide more information about the localisation of tumours and of important vessels to the clinician during the procedure.
MARZIA ANTONELLA SCELSI
I earned both a BSc and a MSc in Physics at University of Bari, Italy. Medical imaging has always been my greatest interest: my BSc thesis was a review on phase-contrast techniques in mammography, while my MSc final project focused on the analysis of diffusion tensor -MRI images and the application of machine learning techniques to discriminate old healthy people from subjects with Mild Cognitive Impairment and Alzheimer’s Disease. Here at UCL CDT in Medical Imaging I will join the Translational Imaging Group led by professor Ourselin, working on the project “Using imaging genetics to better understand Alzheimer’s and frontotemporal dementia” under the supervision of Dr Andre Altmann. We will combine data from medical imaging such as various types of MRI with genetic data to find correlations with the conversion from MCI to Alzheimer’s and also for the prediction of the frontotemporal dementia.
I did an undergraduate degree in Computer Science at Warsaw University and a Master’s in Research in Computer Science at Ecole Polytechnique. I started a PhD in Theoretical Computer Science at the Max Planck Institute, specialising in parameterized complexity. During that time I got interested in computer vision and image processing and I decided to switch fields into medical imaging.
At the CDT I will be working under the supervision of Dr Tom Vercauteren on the project “Serial and comprehensive assessment of pulmonary nodules from CT and optical imaging”. The initial focus will be on designing a robust image registration method for serial lung CTs.
My hobbies are story games, freeform larps and reading.
I hold a MSc in Biomechanics and a BSc in Biomedical Engineering from Politecnico di Milano, Italy. As part of my Masters thesis project, I worked on “Sizing and Valvuloplasty procedures: Validation of Computational Models and Reverse Engineering to Infer Arterial Wall Tissue Properties” at the UCL Clinical Cardiovascular Engineering group at Great Ormond Street Hospital for Children. Here, I had the opportunity to work in a multidisciplinary environment, where the engineering skills meet the most critical clinical needs. Eager to continue working on these topics, I joined the CDT, where I am now working on combining information from 3D Echo and MRI images to create a patient-specific integrated 3-D model of the left heart, mainly focusing on the mitral valve apparatus. Such finite element model will be used to virtually simulate the delivery and implantation of transcatheter mitral valve devices and to test their performances in realistic patient specific anatomies.
I joined the CDT directly from my 4 year MSci in Physics at Imperial College London. After completing my Master’s project in nuclear physics, I was looking for a field with higher impact to the real world. I chose to come here because of the broad spectrum of opportunities the programme is able to offer – of special interest to me was the aspect of developing new imaging modalities, combining engineering, coding, and analysis. My project is interdepartmental, aiming to combine two blood flow imaging methods: photoacoustic flowmetry and micro particle image velocimetry. This will help to validate and further develop the novel photoacoustic flow technique, which is still in its infancy. The ultimate goal is to commission a device capable of measuring blood flow on a micrometer scale in vivo and noninvasively; this could provide valuable information in fields like ophthalmology and oncology.
I am currently on the doctoral training programme in medical imaging at the Centre for Medical Image Computing (CMIC) in UCL. I am part of the EPSRC/Welcome Trust Fetal Surgery project and supervised by Dr. Dan Stoyanov. My current research is in the design of a robotically actuated fetoscope for use in the treatment of Twin to Twin Transfusion Syndrome (TTTS). I come from North Norfolk in the UK, my Bachelors degree is from Swansea University in Medical Engineering. I have just come from the Hamlyn Centre for Robotic Surgery, Imperial College London where I studied for a MRes in Medical Robotics and Image Guided Intervention. My research was in the design of a robotic instrument for intraoperative fusion of ultrasound and endomicroscopy for use in Transanal Endoscopic Microscopy (TEM).
I joined the Translational Imaging Group led by Professor Sebastien Ourselin as MRes student at UCL in the summer of 2014. Image registration and segmentation algorithms for fetal surgery applications are main subjects of my studies, supervised by Dr Tom Vercauteren. My main aim is to learn, develop and improve tools for images analysis to diagnose and treat birth defects in unborn babies.
Interests: explore and develop mathematical techniques, tools and algorithms oriented to solve imaging problems. Investigate the underpinning mathematics of diffeomorphic image registration and segmentation.
Prior to UCL: I worked as a developer of material flow simulation models and problem solvers in automotive industry (simtec-group.eu), as well as programmer in private companies. Passion for mathematical applications leads me to a Master of Science in Mathematics at University of Turin. Master dissertation was about the investigation of new ways to use Winograd transform in Error Correcting Codes Theory under the supervision of Professor Umberto Cerruti.
I was born and raised in south Wales. I graduated from St. Anne’s College, University of Oxford with a BA in Natural Sciences- Biological Sciences in 2013. More recently, I completed an MSc in Reproductive Medicine: Science and Ethics at the University of Kent. Initially, I was drawn to the CDT as I am interested in using scientific knowledge, techniques and ideas in the ‘real’ world. Further, the course facilitates collaboration between researchers, clinicians and those working in industry which I feel is extremely valuable. My research will primarily be based at the Institute of Child Health. The project aims to measure changes in brain connectivity that may occur in children with cerebral palsy following treatment with a pioneering surgical technique known as selective dorsal rhizotomy.
I finished my 5 year Diploma degree on September 2014 from the University of Patras, Greece in the department of Computer Engineering and Informatics, with a focus mainly on Computer Vision and Signal and Image Processing. I also did a research internship at INRIA with the Perception team, working with the problem of Shape Correspondence. I just started my 4 year MRes + MPhil + PhD course at UCL in the Translational Imaging Group and I will be working on Dr. Jason Warren’s Nexopathy project. Based on the hypothesis that every dementia disease displays a different temporal expansion pattern throughout the brain’s neural network, the project will attempt to prove whether this is true and if so, try to find the underlying cause behind this phenomenon. During the first stage of this research, we will attempt to come up with a computational model of the neural network with some of it’s properties which are deemed suitable and sufficient and then simulate each dementia disease and check whether their pattern of temporal expansion in the computer simulation agrees with the data from various imaging techniques. If successful, the results of this research can potentially help with the early and specific diagnosis of each dementia disease and with the further understanding of them.
I am currently a first-year PhD student at the University College London (UCL) EPSRC Centre for Doctoral Training in Medical and Biomedical Imaging. I am part of the Translational Imaging Group (TIG) led by Sebastien Ourselin and also member of the Medical Physics and Biomedical Engineering department. My PhD work is tied to the fetal surgery project supported by the Image-Guided Interuterine Minimally Invasive Fetal Diagnosis and Therapy grant funded by Wellcome Trust and EPSRC. This research project is being carried out in collaboration with KU Leuven. Within the fetal surgery project my work is supervised by Dr Tom Vercauteren and it is focused on 3D Image Reconstruction of Photoacoustic and Optical US images for Image-guided Fetal Surgery. In the past I have worked on ‘Optical Tracking for Smart Hand-Held Microsurgical Devices’. This research was part of my Master of Research in Medical Robotics and Image-Guided Intervention (2014) at the Hamlyn Centre for Robotic Surgery, Imperial College London. Previously I received my BSc in Computer Science from University of La Laguna in the Canary Islands. During my MSc I was also an exchange student at University of Hertfordshire (2012).
My current research interests are: Image-guided fetal surgery, Biomedical Image Computing and Image Registration. However, I am also interested in Medical Robotics and Robotics in general as well as in any computing related field.
I joined the CDT after graduating from an undergraduate master’s (MPhys) degree in Physics at the University of Leicester. Throughout my time there I completed projects on Embolus Discrimination with Doppler Ultrasound and Monte Carlo Modelling of Light Transport in Human Skin. I enjoyed my time at University so much that I thought to myself “I should do another 4 years of this!”, so I am. During the latter stages of my degree my passion for Physics and particularly the applications within Medicine developed rapidly, and the CDT in Medical Imaging is the best place for me to further pursue that passion. During my MRes year here I will be working with Dr. Simon Walker-Samuel and Dr. Douglas Pendse at the Centre of Advanced Biomedical Imaging on developing novel non-invasive measures of tumour physiology. I hope to then continue this research on to my PhD.
I started my career as a solid state physicist and three years later continued as a medical physicist at Budapest University of Technology and Economics. I was accepted to the UCL CDT in 2014. My main research interest has been MRI since I was first introduced to an NMR device during my MSc years. NMR spectroscopy of NaCl solutions quickly became the topic of my Master’s Thesis. In 2013, I spent two months as an intern at Imperial College, Robert Steiner Unit working on a project focuing on SWI (susceptibility weighted imaging). My research project in the CDT involves susceptibility mapping in order to measure oxygenation level in tumours. This property can indicate how sensitive the tissue will be to radiotherapy.
I pursued my four-year Master of Engineering at Imperial College London in the fields of Electronic and Information Engineering. I graduated in 2014 with a First Class Honours and my thesis involved applications of Computer Vision and Machine Learning in Mobile Robotics. The reason I joined the CDT is due to the fact that I wanted to make a direct impact on the real life of everyday people and especially to their health. My research is focused on Real-time data fusion for Image-Guided Fetal surgery. This is part of a large-scale £10 million project funded by the Wellcome Trust and the EPSRC and in collaboration with KU Leuven and various NHS hospitals. My individual project will consider new methodologies for image fusion by borrowing models and concepts from Medical Image Registration, Computer Vision and Machine Learning. I am currently based at the Translational Imaging Group of the Centre for Medical Image Computing.
I joined the Translational Imaging Group led by Prof Sebastien Ourselin in September 2014 as a MRes/PhD student at the University College London (UCL) Center for Doctoral Training in Medical Imaging. I participate in the Fetal Surgery project (GIFT-Surg) funded by EPSRC and Wellcome Trust and my research project is involved in imaging of the placenta and information extraction from the perspective of different imaging modalities. Prior to UCL, I received my M.Sc in Medical Informatics from the National and Kapodistrian University of Athens. My master thesis project conducted in the Biomedical Research Foundation of the Academy of Athens. I completed my B.Sc in Biomedical Engineering from the T.E.I. of Athens which included an internship at GE Healthcare (Athens, GR) as a Field Service Engineer trainee.
After graduating my 4-year MEng Computing degree from Imperial College London, I joined the Medical Imaging CDT and started to work on disease progression modelling applied to Posterior Cortical Atrophy (PCA). PCA is a rare variant of Alzheimer’s disease that affects the posterior part of the cerebral cortex. Research about PCA is still in its infancy for we still don’t know what its causes are and how to treat this neurodegenerative disorder. My approach is to model its progression as a series of key events and develop algorithms that learn the event orderings in different phenotypes from a diverse range of clinical, neuropsychological, neuroimaging and genetic metrics. Learning about the ordering of these key events will hopefully shed a light on understanding the progression of the disease.
Work: Helping to develop ASL (arterial spin labelling) biomarkers for neurodegenerative disease – in particular, dementia. Hopefully, helping the group study how ASL models can be better linked to understanding tissue/pathology. Investigating coupled statistical models for analysis of multi-modal imaging data.
About: My first degree was in engineering (University of Oxford, 2010-2014), specialising in mathematical modelling and software for biomedical applications. The bulk of my professional experience has been in software, although in 2013 I was fortunate enough to receive funding for a three-month research project examining motor degradation. At TIG, I’m trying to take that to the next level. I’m excited to be part of such a dynamic group, using theory and software to directly improve patient outcomes.
Hobbies include reading, tennis and robotics. Grab me if you want to talk books, play tennis or make a robot!
I joined the Centre for Doctoral Training in 2014, my project is entitled ‘Imaging and Computational Modelling in Chronic Obstructive Pulmonary Disease’ under the supervision of Prof Dave Hawkes and Dr John Hurst. Chronic Obstrtuctive Pulmonary Disease or COPD affects a large population in the UK and around the world yet the progression of the disease is still poorly understood. Through the use of mathematical modelling, machine learning and clinical data I hope to look at the airway geometry down to a scale that is visible to CT scans so I can understand the normal respiratory function and the progression of the disease. My goal is to generate patient specific models for the progression of the disease so the patient can receive the most appropriate treatment.
I have completed my BCs in Biology in my home town at University of Florence, Italy. After graduation I found myself two short term research assistant positions in Philadelphia, USA, at Drexel Medical College and Thomas Jefferson University. After spending a year in the States, I decided to move to London and did a MRes in Experimental Physiology and Drugs Discovery at Imperial College London. Having completed my MRes I was not sure if I really wanted to do a PhD. I therefore spent the last couple of years working in industry for Imanova developing preclinical and clinical PET radiopharmaceuticals. My experience in industry turned out to be essential in developing a passion in bioimaging techniques and in finding the drive to do a PhD to develop skills and expertise in a subject area of my interest. I joined the CDT in September 2014. I will be joining the cell imaging team at the Centre for Advanced Biomedical Imaging and will initially be developing PET reporters for tracking T lymphocytes and stem cells.
I joined the CDT in September 2014 as an MRes/PhD student. My research will be in the field of PET/MR, analysing data acquired using an amyloid PET tracer for the diagnosis of dementia.
Prior to joining UCL I worked at King’s College Hospital for 3 years completing the Scientific Training Programme in Medical Physics. I specialised in imaging with ionising radiation and my MSc project focused on dosimetry for Y90 Selective Internal Radiotherapy using dose point kernel convolution. I completed my undergraduate degree in Physics with Medical Physics at the University of Surrey.
Research Interests: PET/MRI, biomarkers and neuroimaging.
Current Research: I am currently a MRes/PhD student in UCL Centre for Doctoral Training in Medical Imaging and I have joined the Translational Imaging Group (TIG) in September 2014. My research will focus on developing an automatic framework to segment and characterise subcortical structures using information from distinct modalities in order to provide better imaging biomarkers of neurodegenerative diseases.
Background: I completed my BSc and MSc in Biomedical Engineering at the University of Lisbon, Portugal in 2014. My MSc project undertaken in King’s College London involved assessing the use of bimodal agents and Partial Volume Correction procedures in enhancing PET images resolution. In addition, during my studies I did a Research Fellowship at the University of Lisbon which consisted of structural and functional MR images in the study of schizophrenia.
After finishing my Master’s degree of applied mathematics at the Vienna University of Technology I joined the CDT in January 2015. Within the GIFT-Surg project my research will deal with the reconstruction of volumetric fetal MRI from 2D slices. These 3D images will provide surgeons with valuable information on the specific anatomy and pathology of the fetus in order to minimize the risks during complex operations.
I have previously taken part in several research projects where I acquired knowledge in different fields of applied mathematics. My bachelor’s thesis was tied to the FWF research project P21732 “Adaptive Boundary Element Method” and my master’s thesis dealt with the modelling of the circulatory system being undertaken as a joint-work with the AIT Austrian Institute of Technology in Vienna, Austria. I also contributed to the development of an adjustable throttle system for implantable infusion pumps by means of flow simulations of fluids in porous ceramics in the course of an internship at the University of Applied Sciences in Luebeck, Germany. I was also an exchange student at Universidad de Alicante, Spain.
I highly appreciate the opportunity to work in a diverse team structure with different backgrounds and sound expertise here at UCL to conduct my research in medical image computing and image reconstruction under the supervision of Prof. Sebastien Ourselin and Dr. Tom Vercauteren.
I have a telecommunications engineering degree focused on image processing and computer vision. Currently, I am starting my PhD in fethal surgery in the GIFT surg project in UCL. The current project is based in the 2D and 3D reconstruction of the placenta as well as the time real location of the surgeon. The main idea is to use the mosaicking techniques to be able to do such reconstructions. The group is directed by Dr. Sebastien Ourselin and my PhD is supervised by Dr. Tom Vercauteren. Prior to UCL, I did my final project in Vienna (Austria) working in Object Recognition with Dr. Xavier Giró from UPC and Dr. Matthias Zeppelzauer from TUWien. I am happy to be at UCL because I think that the PhD program will give me all necessary tools to have a successful career.
I obtained my Bachelor’s and Master’s degree of Biomedical Engineering in Shanghai Jiao Tong University and then joined CMIC in September 2014. My research interest mainly includes medical image segmentation, registration and visualisation. During my Master’s programme, I worked on segmentation framework in liver surgical planning system. In UCL, my research project is to develop algorithms for image guided fetal surgery, under the supervision of Professor Sebastien Ourselin.
I joined the DTP after finishing my MSci Physics degree at Imperial College London in 2013. I am working in the Photoacoustic group under the supervision of Dr Ben Cox and Prof Paul Beard. My research is focused on quantitative spectroscopic photoacoustic imaging, which involves acquiring images at multiple wavelengths and using spectroscopic decomposition techniques to quantify the concentrations of specific tissue chromophores by exploiting their spectral characteristics. Thus the known differences in the absorption spectra of oxy- and deoxyhaemoglobin can be used to obtain a measure of blood oxygen saturation – an important physiological parameter related to a variety of pathophysiological processes such as tumour growth. As part of the MRes course I will be taking modules in programming, optics in medicine and cancer biology, which I think will be great preparation for my research.
I graduated with an MSci in Physics from the University of Bristol and was attracted to medical imaging and the DTP for the chance to work in a more applied and multidisciplinary field. I’ve joined DTP as an MRes student and I’m now based within the Biomedical Ultrasound Group in the Medical Physics and Bioengineering department. My research will focus on optically generated ultrasound. This method can produce very flat broad spectra ultrasound pulses compared with piezoelectric transducers. It also allows significant spatial and temporal control of the pulse through modulation of the laser and the absorber shape. The goal of my PhD will be to develop an ultrasound transducer that can both transmit and receive optically. This transducer will combine optically generated ultrasound using a polymer composite and the Fabry-Perot ultrasound sensor developed by the photoacoustics group.
I was born and raised in the beautiful country China. I obtained my Bachelors in Telecommunications at Nanjing University of Posts and Telecommunications and my Masters in Biomedical Engineering from Tsinghua University, China. In 2013, I came to London and started my PhD at the Centre for Medical Image Computing (CMIC) of UCL, focusing on the image-guided interventions. The goal of my research aims to compensate the brain deformation during open neurosurgery so that the clinical accuracy of navigation could be improved. The DTP program is attractive to me because it means not only can I work with brilliant researchers but also gifted surgeons who have valuable clinical experiences. This kind of close collaboration would definitely improve my research and communication skills.
I was drawn to the field of medical imaging by the idea that my Physics degree could be usefully applied in the real world. For this reason I found the Centre for Medical Image Computing at UCL particularly exciting; it offers opportunities to undertake research with a direct view towards clinical translation. My project will focus on the use of interventional MRI, in collaboration with the National Hospital for Neurology and Neurosurgery in Queen Square. In particular I will be looking at the use of MRI data acquired during neurosurgical procedures to accurately localise brain structure and tumours. Hopefully this work will enable tumours to be removed with greater accuracy and fewer complications.
My research focuses on the functional organisation of the human brain by looking at its characteristics from an engineering perspective. I obtained my passion for this interdisciplinary research at the Max Planck Institute for Human and Cognitive Brain Sciences in 2011/2012. There, I had the opportunity to study functional networks of the human brain, which I derived from resting-state functional MR images. After graduating from the University of Leipzig in 2013 with a Diploma in Medical Computer Science, I wanted to build on my previous work. Therefore, the Wolfson DTP was the ideal programme, combining expertise in medical imaging (CMIC) and neurology (DRC), and enabling me to study the disrupted functional organization of the human brain when challenged by neurodegenerative diseases. My focus is hereby the development of new biomarkers based on Bayesian modelling and their translation into the clinical landscape.
After completing a BSc in Physics at Queens University Belfast, I undertook an MSc in Advanced Neuroimaging at UCL as it combined the two areas of science I find most fascinating. I was particularly interested in functional imaging so for my MSc project I looked at figure-ground segregation in the auditory cortex using MEG. I joined the DTP in 2013 as an MRes student to focus more on the developmental side of biomedical imaging. My MRes project will look at magnetic activation of specific cells in the brain using iron oxide nanoparticles. At present, the dominant technology for controlling cells in the brain is optogenetics, where the cells are made sensitive to light genetically and stimulated by implanting optical fibres into the brain. The benefit of this new technique is it removes the invasive aspect and allows remote control of the brain, without compromising spatial or temporal specificity. So far astrocytes have been successfully activated in vitro, so I will be working on developing this new technique in vivo.
I obtained a 3+2 Bachelors plus Masters in Biomedical Engineering and Biophysics at the University of Lisbon in my home country Portugal. I was initially attracted to a career in research at the end of my Bachelors when I completed a three months research internship at the University of Virginia (USA). For this reason, in my second year of Masters I decided to do my research project at the Ultrasonics Lab in the UCL Department of Mechanical Engineering where I studied the acoustic properties of human liver tissue for ultrasound therapy purposes. This experience was very rewarding in a professional and personal level, and it convinced me to pursue a PhD to increase my research skills and hopefully make me a better professional. I joined CMIC in 2013 and I will develop my work within the Breast Cancer Imaging Group.
As a specialization of my education at Ecole Polytechnique engineering school in France with a major in applied mathematics I obtained a Master in Biomedical Engineering from ETH Zurich in March 2013. Strongly attracted by the translational motivation of CMIC and fascinated by the power of medical imaging, I spent the last 6 months of the programme at CMIC on a project that I will pursue during my PhD in collaboration with the DRC (Dementia Research Center). My research focuses on the study of the lesions of the white matter in the brain that can be observed in neurodegenerative diseases such as Alzheimer’s disease. Delineating, characterizing, quantifying and modeling these lesions in different images acquired with magnetic resonance imaging might indeed provide a deeper understanding of the processes of these diseases, link it to other assessments of dementia and avoid bias in other brain measurements.
I graduated with a BSc in Physics with Medical Physics from UCL. Having spent 3 years undertaking courses which focussed on applying physical theories to the medical world, I knew this wasn’t enough for me and decided to pursue a PhD in the field. I’m currently based in the Medical Physics and Bioengineering department and my supervisor is Prof. Sandro Olivo. The research team lead by Prof. Olivo is working on a novel way of using X-rays for imaging. The method is called “Coded Aperture X-ray Phase Contrast Imaging” . This method produces images based on the refraction of X-rays as they go through a sample, as opposed to the conventional method which is based on their absorption. So far it has been shown to have significantly higher resolution and contrast compared to conventional X-ray imaging. My project aims to optimize the imaging method in 3D and to create a prototype phase contrast CT scanner, while investigating different applications (such as regenerative medicine, tumour invasion, composite materials).
I joined DTP as a MPhil student after completing my master degree of computer science at national key laboratory cognitive neuroscience and learning of Beijing Normal University in 2013. It is during my master degree that I found my potential life goals and the strong wishes deep from my heart to help patients who suffer a lot. And the most important thing of all is that I find myself enjoy the research even though sometimes it turns out to be very painful. Therefore, I came to mig at cmic to continue my research life. Till now, my research interest focuses on reconstructing brain structural connectivity by new tractography algorithms based on Neurite Orientation Dispersion and Density Imaging technique (NODDI) and further demonstration of the new tractography algorithm.
I obtained my Bachelors in Mechanical Engineering at UCL then pursued a Masters in Biomedical Engineering from the University of Oxford. I was attracted to the strength of the research performed at CMIC; in particular the clinical translation of computational methods within medical imaging. I chose to start the DTP at CMIC in order to develop novel links between theory and practical application using imaging and modelling. In particular, my research will focus on the development of novel methods for the diagnosis of respiratory diseases such as COPD. The presentation of COPD is markedly heterogeneous in terms of the pathology, etiology and clinical symptoms. The main, present goal of my research aims to combine registration, shape analysis of the airways and texture-analysis to improve the current assessment of disease severity and the identification of novel biomarkers.
I obtained an Electronic Engineering degree from a French graduate school in electrical engineering, computer science and telecommunications and an MSc in Biomedical Engineering from Imperial College London, in 2012. I am now a PhD student at the Centre for Medical Image Computing (CMIC). My research concentrates on the improvement of estimation of radio-pharmaceutical uptake in MR-PET imaging. While Magnetic Resonance Imaging (MRI) provides high-resolution anatomical information, Positron Emission Tomography (PET) provides functional information. The combined images have applications in oncology, neurology, or cardiology. Several factors limit the PET resolution such as photon count statistics and motion of the patient. My work during my PhD will be to improve an existing reconstruction algorithm, adding a new method of MR-based attenuation correction and a motion compensation algorithm.
Angela M. d'Esposito
I have completed both my BSc in Clinical Engineering and MSc in Biomedical Engineering in my home town at Sapienza, University of Rome. During my academic career I have had the chance to study at TU/e, Technical University of Eindhoven (NL), and later on to work on my final Master project at Berkeley, University of California. Learning much from these experiences from both a personal and an academic point of view, I have decided to continue walking in that direction by starting a PhD research at UCL, CABI (Centre for Advanced Biomedical Imaging). Here I am working on the development of an Optical Projection Tomography (OPT) imaging system to study fundamental biological processes in the heart and brain using light emitted from inside the organ, via optical fluorescence. OPT is a novel technology and represents the next generation of optical microscopy. Developments in this research will fill a technological gap, allowing 3-D imaging of cellular process in unprecedented detail.
Zach Eaton-Rosen was born and raised in London. He studied physics for a masters, doing an M.Sci project on MRI registration in stroke patients. In 2010-2012 he taught secondary science and physics in Edmonton. In this time the national curriculum convinced him (although few of his students) of the exciting, productive and important nature of research. Therefore, he applied and was accepted to the DTP programme. Since coming back to university, he has relished being given a chance to really use his mind and work with gifted colleagues (not to mention wearing comfortable clothing!). He will be working on scans of premature babies, trying to link imaging biomarkers with future outcomes, hopefully leading to effective intervention for the children who need it most.
Matthias Joachim Ehrhardt
My background is in applied mathematics in which I completed my Diploma at the University of Bremen, Germany, in 2011. Alongside my major subject mathematics the studies included industrial engineering and computer science as minor subjects. In my Diploma thesis I applied sparsity to decomposition tasks in geosciences. Since 2012 I am a PhD student at CMIC under the supervision of Professor Simon Arridge. My research interests comprise inverse problems, convex optimization, sparsity, and signal and image processing – in particular application of these techniques to medical imaging. In my research I work on simultaneous reconstruction of positron emission tomography (PET) and magnetic resonance imaging (MRI). As PET scans show cancer but lack good spatial resolution modern scanners obtain anatomical information from a built in MRI system which can be used to enhance the spatial resolution.
I obtained my B.Sc in Physics & Instrumentation from the Galway/Mayo Institute of Technology in 2008. After this I spent some time working in the energy sector in Norway and Wales, before moving to Canada in 2009. After returning home, I decided that I would like to further my career in physics, and so completed a HDip in Experimental Physics in the National University of Ireland Maynooth, before going on to complete a Masters in Medical Physics in NUI Galway. I began my PhD in UCL in October 2012, specialising in MRI. I was initially attracted to a career in research during my time in Maynooth, where I undertook a spectroscopy project that involved EM resonance. During my Masters I found MRI to be a natural continuation of this. My research involves using the phase data obtained during an MRI scan to map the magnetic susceptibility of tissues.
After graduating from Cardiff University with a BSc in Physics with Medical Physics in 2012 I joined the DTP and I am now based at the Centre for Advanced Biomedical Imaging (CABI). Broadly my main research interest is in cardiac MRI, while at the moment my focus is on myocardial tagging. This is where spatially selective RF pulses are applied in a grid pattern to pre-saturate the myocardium; this saturated tissue appears darker than its surroundings appearing as a grid of dark lines. The grid is applied at end-diastole and once applied becomes a physical property of the tissue which deforms with the heart as it beats providing markers for quantifiable motion tracking. Cardiac MRI mainly focuses on global function; the goal of this project is to be able to measure the onset of cardiac diseases regionally by analysing the contraction of the heart.
I obtained my BSc in Medical Biochemistry at the University of Leicester and completed an MRes degree in Biomedical Research at Imperial College London. I am enrolled on a joint studentship based at the UCL Centre for Advanced Biomedical Imaging and the Cancer Institute. This is ideal for me as I was keen to do a PhD in a cross-disciplinary and collaborative environment. The main objective of my research project is to non-invasively track cells by imaging gene expression in vivo using PET/SPECT. Despite an increase in the use of adoptive cell based immunotherapy in clinical practice, there are still unanswered questions regarding the biological fate of the cells once they are administered. This technique is versatile and can potentially be used to monitor different cells including tumour cells, stem cells or therapeutic T-cells.
I have joined CMIC in 2012 after working for over four years as a software engineer in software technology and biotechnology software companies. I have a BA Cybernetics and Measurement from Czech Technical University, Prague and MRes Bioinformatics from Newcastle University. I was attracted to the DTP as I want to move into a research and development type of role and to work on developing and enabling algorithms that solve important problems. I became attracted to the field of medical imaging and in particular of image-guided surgery, which enables minimally invasive interventions as well as previously infeasible surgeries by combining multi-channel imaging with precise navigation of surgical instruments. My research will be specifically in brain shift estimation in neurosurgery. I am also interested in machine vision, MRI, image registration techniques and generally in optimization algorithms.
I graduated with a masters in Engineering Mathematics from the University of Bristol before working as a research assistant at CMIC, focussing on vessel-based image registration techniques. I then worked for a private company dealing with imaging for clinical trials. I am now studying for a PhD in motion correction in simultaneous Positron Emission Tomography (PET) and Magnetic Resonance imaging (MRI). The project is split between The centre for Medical Image Computing (CMIC) and the institute of nuclear Medicine (INM) at University College Hospital (UCH). MRI provides high resolution anatomical information while PET provides functional information, but the images are of lower resolution. My work will focus on exploiting the fact that both imaging modalities can be acquired simultaneously on the new Siemens mMR scanner, and motion information found in one can be used to correct the other.
Before coming to the UCL Centre for Advanced Biomedical Imaging, I completed four years of the Natural Sciences Tripos (BA & MSci.) at Cambridge University, where I specialised in experimental and theoretical physics. It was during my final year that I developed an interest in biological and medical physics. During my DTP I will be investigating resting-state fMRI as an early biomarker for Alzheimer’s Disease, and testing this with a transgenic mouse model. There will be many physics and neuroscience experiments, combined with a number of data analysis techniques to map correlations between brain areas and establish functional networks. It may be that subtle differences within these networks can provide an insight into how Alzheimer’s Disease develops, and potentially lead to a diagnostic tool in humans.
I completed my Bachelor degree in Physics and Earth and Space Sciences at Jacobs University Bremen in Germany and wrote my Physics Bachelor thesis in cooperation with Fraunhofer MEVIS on a project dealing with compartment modelling of the liver and deconvolution techniques based on perfusion and hepatic extraction. I joined the DTP programme at UCL in 2012 as an MRes student. Currently I am working in the field of Neonatal Imaging, on a project dealing with MRI brain data of 18 to 28 weeks foetuses. The aim of the project is to perform segmentation and registration of the images in order to investigate the development of the early human brain. This information is crucial for the early prediction of brain abnormalities.
Originally coming from Cyprus, I moved to UK to study Bachelors in Electronic Systems Engineering at University of Manchester and then obtained a Masters in Biomedical Engineering from the University of Oxford. After completing my master’s degree, I stayed at Oxford to work for Siemens Molecular Imaging as a software test engineer. I have now started my PhD at Institute of Nuclear Medicine and I am working on joint kinetic analysis of dynamic PET and contrast-enhanced MRI data. Combining the information from PET and MRI will enable us to tackle the limitations of each modality and would be an asset to clinicians and scientists in the design of new diagnostic tools and to provide better monitoring of treatment responses.
I graduated from the University of Surrey in 2010 with a BSc in Physics with Medical Physics. With my growing interest in medical physics, I started an MSc in Physics and Engineering in Medicine at UCL. My MSc project was based on programming an ultrasound scanner to monitor the effects of high intensity focused ultrasound (HIFU). In 2012, I joined the DTP programme as an MRes student. My MRes project is currently focused on implementing and programming an oscillating gradient diffusion MRI sequence onto a 3T Phillips MRI scanner at UCLH. Optimising this sequence will allow determination of axon sizes in the brain. This will form the basis of my work for the next four years, where I hope to achieve the goal of obtaining brain data of human subjects using this MRI sequence to distinguish between patient groups and control groups.
I joined the DTP in 2012 after completing a BSc in Mathematics and an MSc in Computer Graphics, Vision and Imaging at UCL. During my MSc I took some courses related to medical image computing and for my project I worked on disease progression modelling within CMIC. My research is focussed on modelling the progression of neurological diseases within the brain, in particular Alzheimer’s disease. Current techniques for disease staging are based on cognitive test scores which are subjective, have limited temporal resolution and cannot characterise the earlier disease stages. My work will use computational modelling and machine learning techniques which make it possible to analyse progression patterns from a variety of measurements and without reliance on the clinical staging of patients. More detailed models of disease progression will allow earlier and more reliable patient diagnosis which is essential for drug trials.
Following my graduation from UCL in BSc Biomedical Sciences in 2011, I was not sure if I really wanted to do a PhD. I worked as a private tutor, whilst looking for a full-time job. However I was surprised how much I missed studying science, the constant mental workout and the rewarding feeling after understanding a difficult concept or solving a complex problem. In the end, I was determined to do a PhD and to develop scientific research skills and expertise in a specific subject area of my interest. I joined the Doctoral Training Programme in September 2012. My project is on assessing the effects of an anti-cancer therapy known as proteasome inhibitor on pre-clinical model of gliama, a type of brain tumour using Amide Proton Transfer Magnetic Resonance Imaging. The complexity in the physics of magnetic resonance imaging and its vast clinical applications make the subject intellectually stimulating.
I joined CMIC in 2011 after completing a BSc in physics at King’s College London and an MSc in computer science at Imperial College. During my DTP I will be looking at applying techniques of computer vision to the field of robot-assisted surgery. Research in this field aims to overcome the challenges surgeons face in terms of tool localisation and scene visualisation within the patient’s body. This can be achieved through the visual tracking of both the camera and the instruments as well as performing reconstruction of the surrounding surfaces. One of the research goals I hope to achieve is to use this data to build a system that is capable of assessing the skills of trainee surgeons. This will allow their ability and progress to be measured in quantifiable way.
Throughout my undergraduate studies, it was my desire to undertake research at a top-level institution. After completing a BSc in Physics with Medical Physics at UCL, I joined the Julius Wolff Institut – Charité in Berlin for a 3-month internship as part of the DAAD RISE programme. During this time I worked on the characterisation of rat bone using confocal ultrasound microscopy. I began the DTP in 2011 as an MRes student. Courses in optics, programming and computational modelling serve as the ideal preparation for my project in quantitative photoacoustic imaging. In this project, I aim to develop methods of recovering chromophore concentrations from photoacoustic images, via computational means, and to test them experimentally. I have enjoyed the challenges faced so far and look forward to making progress in my research.
I finished my undergrad studies in Physics at Jacobs University in Bremen, Germany and I did my bachelor thesis in collaboration with Fraunhofer MeVis on a project related to MRI imaging using Arterial Spin Labelling (ASL). I joined the DTP programme at UCL in 2011 and I am part of the Mircrostructure Imaging Group. My current project is to study an analytical approximation of the diffusion MRI signal in restricted geometries for an oscillating diffusion gradient, which allows a better estimation of small pore sizes. Next, I will apply what I learned so far about diffusion pulse sequences to prostate cancer imaging. The goal of the project is to accurately stage the cancer based on the diffusion images which reflect to some extent the morphological changes of the tissue.
I came to the DTP in 2011 from a background in physics. I am looking for ways to improve the early diagnosis of dementia through the combination of data from different imaging modalities. This year I shall be working between CMIC the INM at UCLH. My research here aims to improve and create computer aided diagnosis tools using techniques from computer vision. Right now, I am using exploring a novel way to combine PET and MRI data to recognise changes associated with disease progression in Alzheimer’s. Using pre-existent data and random forest classifiers, a machine learning technique, I produce similarity measures between the data points associated with different cases of disease or health. These measures can be used to map diagnosed and undiagnosed data points to a new space where machine learning techniques may be used more effectively.
My joint interest in neurobiology and biomedical imaging has led me to pursue a research role in neuroimaging. I particularly like studying diffusion MRI and what this tells us about the nerve pathways of the human brain. For the first year of my PhD I am doing the MRes in Medical and Biomedical Imaging, working partly on gaining new skills in computing and neuroanatomy, and partly on my PhD project, which is a joint collaboration between CMIC, the Institute of Child Health and the Dementia Research Centre. My project will initially involve testing various methods for obtaining measures of structural connectivity using diffusion-weighted images and for analysing the network using graph theoretical analysis. The method of choice will be developed as a novel clinical tool for studying language development in children and for neurodegenerative diseases such as Alzheimer disease.
During my BSc in Chemical Engineering studies in Germany I started to develop a big interest in the detection and treatment of cancer. In 2011, I completed a MRes in Chemical Research, aiming to contribute to the development of gas sensors, which in future could be applied as breath-sensors for the cancer detection. During this research period I became more and more fascinated by the possibilities modern imaging modalities make available in the field of cancer detection, so I applied to the Department of Medical Physics at UCL, where I recently started a Doctoral Training Program. My project here involves the development of targeted contrast agents for photoacoustic modalities. The future prospect of the development of such contrast agents is to reveal processes that occur at a molecular level and allows observing the effects of a treatment.
I joined the Doctoral Training Program in 2011. I graduated from Imperial College, London in 2009 with a Masters degree in Biomedical Engineering. The course in Biomedical Engineering attracted me due to its application to the field of medicine. After working as a Clinical Engineer for two years, I decided to join the DTP at UCL since it combined the areas of medical technology, computing and mathematics, all of which I am deeply interested in. I have joined the Microstructure Imaging Group (MIG) in CMIC, which focusses on obtaining the neural structural details non-invasively, using Diffusion MRI techniques. I am working under the supervision of Dr. Gary Zhang and will be working on the clinical implementation and testing of the microstructure imaging techniques generated within MIG.
After reading Computer Science at UCL, working in software development and support and teaching ICT in a secondary school, I returned to UCL to take MSc degrees in Medical Image Computing and then in Vision, Imaging and Virtual Environments. My PhD research is focused on development of multimodal imaging biomarkers for Alzheimer’s Disease, an increasingly prevalent neurodegenerative disease. Over the past year I have developed pipelines for processing and combining MRI and PET images to analyse links between various atrophy measures and amyloid plaques in the brain. As well as working with the methods team at CMIC, I spend some time at the DRC in Queen’s Square, where I enjoy the benefit of collaborating with our clinical colleagues. My work aims to utlilise the team’s developments in registration, segmentation, BSI, cortical thickness and PVC to improve prediction, diagnosis and prognosis and to elucidate disease progression and response to therapy in search of disease-modifying treatments for AD.
Miguel Rodrigues Gonçalves
I joined the DTP in 2010 after finishing an MSc in Biomedical Engineering in Portugal. Over the last year of my Master’s I became very interested in the medical imaging field and so I applied to the UCL Centre for Advanced Biomedical Imaging, where I am based at currently. My project aims at characterising the microenvironment of tumour xenograft models and evaluating characteristics associated with acute hypoxia. Acute hypoxia is a characteristic of solid tumours and is associated with resistance to chemotherapy and radiotherapy, as well as contributing to tumour progression and development of metastatic disease. Oxygen fluctuations can be measured non-invasively with MRI using gradient-echo sequences sensitive to the changes in oxygen and blood flow. These findings will be used to construct mathematical models of tumour growth and progression, with a view to applying corresponding techniques in clinical trials of radiotherapy efficacy.
My undergraduate degree is in Physics and my interest in medical imaging led me to study for an MSc in Imaging in Biomedical science. I decided to follow this up with a PhD and was attracted to the DTP program at UCL due to the variety of projects on offer and range of taught modules during the first year. It is also possible to switch projects at the end of the first year. Last year, I worked on a project to register histology with ex vivo MR images of brain samples. This year I am based at the Institute of Neurology, where I am developing techniques to correct partial volume effect on arterial spin labelled (ASL) images. ASL is an MR technique that measures perfusion non-invasively.
I joined the Doctoral Training Programme in 2010 after completing an undergraduate Masters in Physics at Sussex University. I wanted to do research in a more applied field and medical physics seemed a worthy challenge. I am currently based at the Centre for Advanced Biomedical Imaging where my project is focussed on developing a non-invasive MRI sequence to measure perfusion within the liver. Current practice involves the injection of a contrast agent, whose side effects limit the frequency of these measurements. Development of a non-invasive method such as a MR technique known as Arterial Spin Labelling (ASL) can provide information on the viability of a liver as well as early and follow-up response to novel vascular targeting therapies for liver metastases.
Pablo Pérez Tirador
After studying Telecommunication Engineering at San Pablo-CEU University (2009-14) in Madrid, Spain, I became interested on the applications of engineering in the medical world. Being interested on the assessment of brain function, I furthered my studies by taking an MSc on Biomedical Engineering at Universidad Politécnica de Madrid (2014-15). There, I studied the effects of physical exercise on brain’s functional connectivity. Now I have joined University College London’s CDT in Medical Imaging and got involved on a project to develop more efficient devices to monitor hypoxia and ischaemia in newborn infants’ brains. My particular interests are on efficient implementation of algorithms, hardware and software integration for medical applications and brain imaging.
I specialised in Physics as part of a 4-year MSci degree in Cambridge. During this period, I developed an interest in interdisciplinary research; I undertook a placement in the cytoskeleton group at the LRI, using optical tweezers to investigate the behaviour of novel motor proteins, and my Master’s project was based on modelling blood vessels using microfluidics and computational methods. I was attracted to the CDT for Medical Imaging because there is an emphasis on clinical translation – collaborating with both research scientists and clinicians means that there is a direct link between research and application. I will be based in the Photoacoustic group, in collaboration with CMIC and the Royal Free Hospital, developing a guidance system for minimally invasive surgery using photoacoustic imaging to distinguish between tissue types.
email : firstname.lastname@example.org
I first started out pursuing an MSci degree in Theoretical Physics at Imperial College London. During my time at university, I had worked at various research-based institutions such as the Institute of Shock Physics, Met Office and the National Physical Laboratory, all of which rely heavily on translating physics into real world applications. This has given me a taste of interdisciplinary research and an interest in applied science.
My project is in cardiac flow modelling, by analysing patient PET/CT heart scans, perfusion of blood in the myocardium (heart muscle) can be predicted. This will ultimately provide a non-invasive method of measuring the fractional flow reserve across a coronary artery stenosis. The FFR number is an important measure, clinicians often determine whether a stent should be applied using this value.
I joined the Microstructure Imaging Group as an MRes/PhD student in September 2015 after obtaining a master’s degree in Computer Science from University of Birmingham. My work at CDT is in the field of neuroimaging and focuses on assessing the level of neurodegeneration in Multiple Sclerosis. This is done by developing advanced non-invasive imaging methods to estimate microstructure parameters through combining computational modelling and machine learning techniques. The ultimate goal is to improve the understanding of the disease and potentially develop new treatment methods.