Conference Proceedings

A method for shape analysis and segmentation in MRI

N Faggian, Z Chen, L Johnston, O Se-Hong, ZH Cho, G Egan

Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008 | Published : 2008

Abstract

Morphometry of Human Magnetic Resonance Images (MRI) is the process of measuring structural variations that occur in the brain. Morphometrics provide a mechanism to monitor and relate structural changes of anatomy to the onset or progression of a disease. It is therefor a very important area of research, specifically since MRI sequences are non-invasive and can be acquired in-vivo. This paper addresses two sub-problems in the area of MRI morphometry: 1) shape analysis and 2) semi-automated segmentation. Firstly the paper presents a method of analysing for group differences between 2D contours. The theoretical underpinning is derived from the field of content-based image retrieval, specifical..

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