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Proceedings Paper

Quantitative three-dimensional collagen fiber modeling from spectral domain optical coherence tomography (OCT) images (Conference Presentation)
Author(s): James P. McLean; Shuyang Fang; Kristin M. Myers; Christine P. Hendon

Paper Abstract

An image processing method was developed for automatically generating three-dimensional models of human uterine collagen fiber networks from spectral-domain optical coherence tomography (SD-OCT) images. A novel image processing scheme was used to segment the tissue from the image volume and divide it into “processing regions” that adapt to the tissue topology. Quantitative fiber analysis was performed on b-scan and en-face image patches, enabled by a custom b-scan preprocessing pipeline. Three-dimensional fiber architecture was analyzed in over 100 mosaic volumes from five different patients (2 pregnant, 3 non-pregnant), revealing a highly complex and patient-specific network of fibrous collagen and myocyte bundles.

Paper Details

Date Published: 9 March 2020
Proc. SPIE 11228, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIV, 112280Z (9 March 2020); doi: 10.1117/12.2549102
Show Author Affiliations
James P. McLean, Columbia Univ. (United States)
Shuyang Fang, Columbia Univ. (United States)
Kristin M. Myers, Columbia Univ. (United States)
Christine P. Hendon, Columbia Univ. (United States)

Published in SPIE Proceedings Vol. 11228:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIV
Joseph A. Izatt; James G. Fujimoto, Editor(s)

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