My Ph.D., which was funded by the EPSRC, addressed the registration of 2D video images to 3D pre-operative scans such as magnetic resonance imaging, or computed tomography. This topic is an example of the classical pose-estimation problem in computer vision. With an interest in image-guided interventions, my research led to the invention of “photo-consistency” as a similarity measure, enabling registration between a 3D model and multiple 2D video images. This method proved to be reliable, accurate, and could be suitable for radiotherapy patient positioning, and some image-guided intervention applications. I then spent 8 years in industry in a wide range of software related roles. In 2008, I joined the Centre For Medical Image Computing (CMIC) to focus on computational neuro-imaging and bio-marker development under Prof. Sebastien Ourselin. I validated the use of 9 degree-of-freedom registration for correction of MR scanner drift in large clinical trials, which impacts clinical trial design such as in ADNI2. This validation was part of a larger initiative to improve the accuracy and reliability of imaging bio-markers for Alzheimer’s Disease including whole brain and hippocampal atrophy measurement. We additionally developed methods for voxel-based cortical thickness measurement, where the newly developed voxel-based methods were orders of magnitude quicker. Between May 2010 to October 2012 I lead a team to develop the NifTK platform. We have developed semi-automated brain, hippocampal and ventricle segmentation tools for the imaging trials work at the UCL Dementia Research Centre, and an image-guided surgery platform for various research projects at CMIC and the image-guided surgery program at the National Hospital for Neurology and Neurosurgery at Queen Square. Since November 2012 I am Senior Research Associate on a Wellcome Trust and Department of Health funded project to deliver a system for Laparoscopic Liver Resection. I additionally continue to lead the development of the NifTK platform.