Automatic segmentation and analysis of Magnetic Resonance images of the knee bones and cartilages

TL;DRAbstract

The aim of this research was the development and evaluation of a non-invasive toolto allow the automatic, accurate and reproducible quantitative measurement of subtlechanges in knee cartilage tissue over time and across a patient population. Non-invasiveinformation was obtained by acquiring, segmenting and analyzing high resolution MagneticResonance (MR) images of the whole knee joint.The interest in knee cartilage is from Osteoarthritis (OA), a disease characterizedby changes in structure and degeneration of cartilage tissue. The X-ray radiography isthe standard imaging modality for diagnosis. However, cartilage tissue is not directlyimaged so imprecise surrogate measures are used. It is now generally accepted thatradiographs do not provide the sensitivity required to perform short term studies or drugtrials into OA. Magnetic Resonance (MR) imaging allows the non-invasive acquisitionof high resolution images of the whole knee joint, including the cartilages. MR has thepotential to per

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