Published In
SPIE Proceedings
Document Type
Post-Print
Publication Date
2016
Subjects
Tomography -- Methods, Tomography, Optical Coherence -- Methods
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
DOI
10.1117/12.2216096
Persistent Identifier
http://archives.pdx.edu/ds/psu/19362
Citation Details
Antony, Bhavna J.; Chen, Min; Carass, Aaron; Jedynak, Bruno M.; Al-Louzi, Omar; Solomon, Sharon D.; Saidha, Shiv; Calabresi, Peter; and Prince, Jerry L., "Voxel Based Morphometry in Optical Coherence Tomography: Validation & Core Findings" (2016). Mathematics and Statistics Faculty Publications and Presentations. 166.
http://archives.pdx.edu/ds/psu/19362
Description
This is the authors' version of a manuscript was published online March 29, 2016 in the SPIE Proceedings. The final publication is available at SPIE via https://dx.doi.org/10.1117/12.2216096