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Proceedings Paper

Structural functional associations of the orbit in thyroid eye disease: Kalman filters to track extraocular rectal muscles
Author(s): Shikha Chaganti; Katrina Nelson; Kevin Mundy; Yifu Luo; Robert L. Harrigan; Steve Damon; Daniel Fabbri; Louise Mawn; Bennett Landman
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Paper Abstract

Pathologies of the optic nerve and orbit impact millions of Americans and quantitative assessment of the orbital structures on 3-D imaging would provide objective markers to enhance diagnostic accuracy, improve timely intervention, and eventually preserve visual function. Recent studies have shown that the multi-atlas methodology is suitable for identifying orbital structures, but challenges arise in the identification of the individual extraocular rectus muscles that control eye movement. This is increasingly problematic in diseased eyes, where these muscles often appear to fuse at the back of the orbit (at the resolution of clinical computed tomography imaging) due to inflammation or crowding. We propose the use of Kalman filters to track the muscles in three-dimensions to refine multi-atlas segmentation and resolve ambiguity due to imaging resolution, noise, and artifacts. The purpose of our study is to investigate a method of automatically generating orbital metrics from CT imaging and demonstrate the utility of the approach by correlating structural metrics of the eye orbit with clinical data and visual function measures in subjects with thyroid eye disease. The pilot study demonstrates that automatically calculated orbital metrics are strongly correlated with several clinical characteristics. Moreover, it is shown that the superior, inferior, medial and lateral rectus muscles obtained using Kalman filters are each correlated with different categories of functional deficit. These findings serve as foundation for further investigation in the use of CT imaging in the study, analysis and diagnosis of ocular diseases, specifically thyroid eye disease.

Paper Details

Date Published: 21 March 2016
PDF: 7 pages
Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 97841G (21 March 2016); doi: 10.1117/12.2217299
Show Author Affiliations
Shikha Chaganti, Vanderbilt Univ. (United States)
Katrina Nelson, Vanderbilt Univ. (United States)
Kevin Mundy, Vanderbilt Univ. School of Medicine (United States)
Yifu Luo, Vanderbilt Univ. (United States)
Robert L. Harrigan, Vanderbilt Univ. (United States)
Steve Damon, Vanderbilt Univ. (United States)
Daniel Fabbri, Vanderbilt Univ. School of Medicine (United States)
Louise Mawn, Vanderbilt Univ. School of Medicine (United States)
Bennett Landman, Vanderbilt Univ. (United States)

Published in SPIE Proceedings Vol. 9784:
Medical Imaging 2016: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

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