Investigation of a block matching algorithm for determining spatial constraints in morphometric analysis

Tanoy K. Sinha; Michael I. Miga

doi:10.1117/12.653994

13 March 2006 Investigation of a block matching algorithm for determining spatial constraints in morphometric analysis

Tanoy K. Sinha, Michael I. Miga

Proceedings Volume 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images; 61431Z (2006) https://doi.org/10.1117/12.653994
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

This work outlines a procedure for identifying brain structures not affected by prevailing global brain deformations. Such information may provide useful constraints for morphometric analysis methods used to measure neurodegenerative disease. The method proposed combines a global rigid registration and a localized block matching approach to analyze serial deformed images. Deformations from neurodegenerative morphological changes in tissue were simulated using a two dimensional finite element model based on porous-medial physics. Success of the registration/block-matching algorithm was determined if undeformed regions could be identified uniquely. Results indicated an ability to identify undeformed areas in five generated test cases. However, there were significant false-positive areas within the results which need further research to overcome.

Citation Download Citation

Tanoy K. Sinha and Michael I. Miga "Investigation of a block matching algorithm for determining spatial constraints in morphometric analysis", Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61431Z (13 March 2006); https://doi.org/10.1117/12.653994

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