The use of 3D Computer Tomography for Musculoskeletal Disease Computational Anatomy
Computer Tomography (CT) enables captures the full morphology of a patient hence enabling surgeons to have a clear insight into the 3D anatomy of the patient. Precise knowledge of the patient morphology improves outcome after hip replacement procedure; enabling custom-made implants, custom-made surgical guides to orientate the components and providing a “map” for robotics.
The state-of-the-art technology in all of these areas has been used to treat patients at the Royal National Orthopaedic Hospital but we now want to push the limits to enable wider adoption of this technology but making it-easier-to-use and more cost effective for the NHS. These technologies use CT data, but the data is often restricted to the visualisation of 2D slices and the 3D information is not modelled as such. This project will address this gap through development of efficient and robust analysis software.
The aim of this project is to develop novel methodologies enabling to study musculoskeletal system variability at a population level. Such analysis will then enable the creation of computational models of morphology, which will then be used to derive robust patient-specific information for both surgical planning and post-operative assessment.
The main methodological development will involve registration, segmentation and shape analysis. The successful applicant will need to establish inter-subject correspondences to gather population information in a common reference space, the bony structures will need to be accurately segmented and labelled in order to generate realistic shape representations. The obtained shapes will then be used to study the morphology variability in the population under study.