Conference proceeding
Segmentation of the Retinal Vasculature within Spectral-Domain Optical Coherence Tomography Volumes of Mice
Proceedings of the Ophthalmic Medical Image Analysis Second International Workshop, OMIA 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, pp.65-72
Munich, Germany
10/2015
DOI: 10.17077/omia.1028
Abstract
Automated approaches for the segmentation of the retinal vessels are helpful for longitudinal studies of mice using spectral-domain optical coherence tomography (SD-OCT). In the SD-OCT volumes of human eyes, the retinal vasculature can be readily visualized by creating a projected average intensity image in the depth direction. The created projection images can then be segmented using standard approaches. However, in the SD-OCT volumes of mouse eyes, the creation of projection images from the entire volume typically results in very poor images of the vasculature. The purpose of this work is to present and evaluate three machine-learning approaches, namely baseline, single-projection, and all-layers approaches, for the automated segmentation of retinal vessels within SD-OCT volumes of mice. Twenty SD-OCT volumes (400 × 400 × 1024 voxels) from the right eyes of twenty mice were obtained using a Bioptigen SD-OCT machine (Morrisville, NC) to evaluate our methods. The area under the curve (AUC) for the receiver operating characteristic (ROC) curves of the all-layers approach, 0.93, was significantly larger than the AUC for the single-projection (0.91) and baseline (0.88) approach with p < 0.05.
Details
- Title: Subtitle
- Segmentation of the Retinal Vasculature within Spectral-Domain Optical Coherence Tomography Volumes of Mice
- Creators
- Wenxiang Deng - University of Iowa, Electrical and Computer EngineeringBhavna J Antony - University of California, BerkeleyElliott H Sohn - University of Iowa, Ophthalmology and Visual SciencesMichael D Abràmoff - University of Iowa, Ophthalmology and Visual SciencesMona K Garvin - University of Iowa, Electrical and Computer Engineering
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the Ophthalmic Medical Image Analysis Second International Workshop, OMIA 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, pp.65-72
- Conference
- Munich, Germany
- Publisher
- University of Iowa; Iowa City
- DOI
- 10.17077/omia.1028
- Copyright
- Copyright © 2015 Wenxiang Deng, Bhavna Antony, Elliott H. Sohn, Michael D. Abràmoff, and Mona K. Garvin
- Language
- English
- Date published
- 10/2015
- Academic Unit
- Ophthalmology and Visual Sciences; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984054299702771
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