Medical Image Computing MSc

MSc 180 credits. Postgraduate Diploma 120 credits.

The course has 8 modules each with 15 credits and a research project carrying 60 credits.

 

Weeks 1-5

Weeks 6-10

Tuesday Term 1

Foundations of Anatomy and Scientific Computing

MATLAB

Linear Algebra

Eigenvalues/SVD

Optimisation

continues on Thursdays weeks 6-10

Physics for Imaging and Therapy

 

Interactions

Detectors

Sources

Dosimetry

Introduction to MRI

Introduction to nuclear medicine

Radiation Protection.

Computer Assisted Radiology

Human and Computer Reasoning and Perception

Computer Aided Diagnosis

Knowledge Representation and Ontologies

Uncertainty

Machine Learning

continues Thursdays weeks 6-10

Thursday Term 1

Computing and Statistics in Medicine

Image Processing

Computing and Medical Informatics

Statistics, probability and error propagation,

Signal Processing

Foundations of Anatomy and Scientific Computing

continues from Tuesdays weeks 1-5

Anatomy and Physiology

Computer Assisted Radiology

see Tuesday weeks 1-5

Tuesday Term 2

Medical Imaging (ionising)

Diagnostic Radiology, CT, Nuclear Medicine, PET, Image reconstruction.

Medical Imaging (non-ionising)

MRI, Ultrasound, Optical Imaging.

Thursday Term 2

Information Processing in Medical Imaging

From voxels to information: tissue classification (supervised and unsupervised), object delineation. Segmentation algorithms in medical imaging. e.g. MASS or Analyze

 

Registration theory and practice.

Technologies to measure change over time. 4D analysis of motion, fusion of multiple modality images.

 

Classification, Markov Randon Fields, Monte Carlo Markov Chain, Bayes, MAP estimation.

 

Regulatory Issues

IPR, Copyright, licensing, QA, regulatory approval, anonymisation, data protection.

 

C++, OOP

 

Hands-on installation and use of packages and libraries e.g. SPM, FSL, Insight, vtk, viewing software.

Image Directed Analysis and Therapy


Visualisation, rendering and interaction.

 

Quantitative measures from images

- volume measures (brain atrophy, ejection fraction, cartilage volume)

- intensity measures (apparent diffusion coefficient, perfusion)

- pharmacokinetic uptake measures

 

Imaging bio-markers for clinical trials

 

Anatomical model creation from images and statistics. Anatomical atlases. Geometric or population based shape models.

 

Imaging in Radiotherapy

 

Applications to Image Guided Surgery, treatment planning.

 

Histological Correlations

 

Imaging in the Life Sciences

 

Case-studies

Term 3

Research Project (60 credits)