A method for shape analysis and segmentation in MRI

Nathan Faggian, Zhaolin Chen, Leigh Johnston, Oh Se-Hong, Zang Hee Cho, Gary Egan

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)


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, specifically to solve contour correspondences. Secondly the paper uses these correspondences to train a deformable model to automatically segment structures. This is achieved using a modified active appearance model fitting algorithm.

Original languageEnglish
Title of host publicationProceedings - Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2008
Number of pages8
Publication statusPublished - 1 Dec 2008
Externally publishedYes
EventDigital Image Computing Techniques and Applications 2008 - Rydges Lakeside Canberra, Canberra, Australia
Duration: 1 Dec 20083 Dec 2008
Conference number: 10th
https://ieeexplore.ieee.org/xpl/conhome/4699977/proceeding (Proceedings)


ConferenceDigital Image Computing Techniques and Applications 2008
Abbreviated titleDICTA 2008
OtherDICTA is the main Australian conference on machine vision, image processing and related areas.In 2007, it had approximately 80 papers with 110 delegates. Since its establishment, DICTA has been a biannual meeting. In 2008, it will turn into an annual conference. It is the conference of the Australian Pattern Recognition Society.
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