Students register for an MRes in Medical Imaging Sciences in their first year. The MRes provides students with the skills and cross-disciplinary knowledge required to successfully complete a PhD in Medical Imaging. During the MRes all students are registered at King's with the taught elements of the programme delivered by both King's and Imperial academics.
The programme consists of two core modules, two stream modules, one interdisciplinary module and two research projects.
To complete the taught elements the students select an interdisciplinary module, which should be taken from a stream different from their main focus of study – thereby encouraging a multidisciplinary understanding of medical imaging. Students can choose from more than 25 optional modules from the portfolio of successful masters programmes of the contributing departments at King's and Imperial (Computing and Chemistry).
Core modules: Introduction to Medical Imaging is the first core module (30 credits) and gives an introduction to the broad spectrum of medical imaging: imaging physics, principles of reconstruction, imaging chemistry and pharmacology, image processing and computational modelling of physiology. For this, the principles of biomedical imaging modalities, including MR, PET/SPECT, optical and ultrasound, will be introduced, along with essential topics on good clinical practice and human anatomy. The module also provides students with research methods that are relevant to imaging sciences and biomedical engineering. The core modules bring the whole cohort together for full-time study.
The stream modules will ensure deep knowledge in a specific area, with applications for a range of potential research projects. Students can also attend other stream modules, should their timetables permit, without formal assessment.
Stream One Module 1: Image Acquisition
Detailed knowledge of imaging with non-ionising (MRI, ultrasound, optical) and ionising radiation (CT, SPECT, PET). Instrumentation and measurement parameters. Simulation tools.
Stream One Module 2: Image Reconstruction
Mathematical concepts of inverse problems with examples of image reconstruction for CT, PET and MRI. Computational tools (Matlab) for image reconstruction from fully and undersampled data.
Stream Two Module 1: Imaging Chemistry
Fundamental principles of imaging chemistry and metal chelates for different imaging modalities, including bio-conjugate chemistry, nano-particulate probe chemistry and photochemical probes.
Stream Two Module 2: Imaging Biology
Detailed knowledge of radio-pharmacology for design, formulation and application of tracer to biological systems (pharmacokinetic, toxicity, dosimetry, cell and animal models, ethics of preclinical research).
Stream Three Module 1: Image Computing
Biological and computer vision. Image transformations, image processing (enhancement, filtering, edge detection, feature extraction), image segmentation and registration. Model-based image analysis.
Stream Three Module 2: Computational Modelling
Theory of multi-scale bioengineering models, linear and nonlinear fluid and solid interactions. Simulation tools of physiology modelling and integration of imaging data.
All students will undertake two research projects. The first project is a group project with three or four students per group. This approach challenges the students to work on an interdisciplinary project. Supervision of this project will be assisted by students alongside academic supervisors. This ensures strong involvement of different student generations within the Centre. The project is assessed through a group presentation and an individual report.