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13 March 2006 Investigation of a block matching algorithm for determining spatial constraints in morphometric analysis
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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