Voxel based morphometry in optical coherence tomography: validation and core findings

Bhavna J. Antony; Min Chen; Aaron Carass; Bruno M. Jedynak; Omar Al-Louzi; Sharon D. Solomon; Shiv Saidha; Peter A. Calabresi; Jerry L. Prince

doi:10.1117/12.2216096

29 March 2016 Voxel based morphometry in optical coherence tomography: validation and core findings

Bhavna J. Antony, Min Chen, Aaron Carass, Bruno M. Jedynak, Omar Al-Louzi, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince

Author Affiliations +

Proceedings Volume 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging; 97880P (2016) https://doi.org/10.1117/12.2216096
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Optical coherence tomography (OCT) of the human retina is now becoming established as an important modality for the detection and tracking of various ocular diseases. Voxel based morphometry (VBM) is a long standing neuroimaging analysis technique that allows for the exploration of the regional differences in the brain. There has been limited work done in developing registration based methods for OCT, which has hampered the advancement of VBM analyses in OCT based population studies. Following on from our recent development of an OCT registration method, we explore the potential benefits of VBM analysis in cohorts of healthy controls (HCs) and multiple sclerosis (MS) patients. Specifically, we validate the stability of VBM analysis in two pools of HCs showing no significant difference between the two populations. Additionally, we also present a retrospective study of age and sex matched HCs and relapsing remitting MS patients, demonstrating results consistent with the reported literature while providing insight into the retinal changes associated with this MS subtype.

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Bhavna J. Antony, Min Chen, Aaron Carass, Bruno M. Jedynak, Omar Al-Louzi, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, and Jerry L. Prince "Voxel based morphometry in optical coherence tomography: validation and core findings", Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97880P (29 March 2016); https://doi.org/10.1117/12.2216096

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