Shape analysis of amygdala atrophy using SPHARM-OT

Zexuan Wang; Jiong Chen; Wenxi Yang; Sumita Gara; Frederick H. Xu; Junhao Wen; Christos Davatzikos; Li Shen

doi:10.1117/12.2654399

3 April 2023 Shape analysis of amygdala atrophy using SPHARM-OT

Zexuan Wang, Jiong Chen, Wenxi Yang, Sumita Gara, Frederick H. Xu, Junhao Wen, Christos Davatzikos, Li Shen

Proceedings Volume 12464, Medical Imaging 2023: Image Processing; 1246405 (2023) https://doi.org/10.1117/12.2654399
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

Abstract

We propose SPHARM-OT, an enhanced spherical harmonic (SPHARM) surface modeling method using optimal transport (OT) for spherical parameterization. To demonstrate its effectiveness, we apply it to shape analysis of amygdala atrophy in Alzheimer’s disease (AD). Of note, identifying morphological abnormalities of medial temporal structures such as hippocampus and amygdala is an important research topic for early diagnosis of AD. Our empirical study includes two steps: (1) the newly proposed SPHARM-OT method is used to model amygdala shapes of 101 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI); (2) using the random field theory to perform surface-based statistical analysis for detecting shape changes between cognitively normal (CN) and AD participants. We demonstrate that (1) the new SPHARM-OT method could effectively reduce surface mapping distortion and lead to a more accurate shape reconstruction result; and (2) significant shape changes between CN and AD participants are identified on certain amygdalar surface regions.

Conference Presentation

Citation Download Citation

Zexuan Wang, Jiong Chen, Wenxi Yang, Sumita Gara, Frederick H. Xu, Junhao Wen, Christos Davatzikos, and Li Shen "Shape analysis of amygdala atrophy using SPHARM-OT", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 1246405 (3 April 2023); https://doi.org/10.1117/12.2654399

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