Conference proceeding
Automated surface segmentation of internal limiting membrane in spectral-domain optical coherence tomography volumes with a deep cup using a 3-D range expansion approach
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), pp.1405-1408
04/2014
DOI: 10.1109/ISBI.2014.6868141
Abstract
Spectral-domain optical coherence tomography (SD-OCT) is used clinically for the diagnosis and management of glaucoma, with the internal limiting membrane (ILM) being one important structure of interest as it reflects the upper bounding surface of the optic cup. In cases of severe glaucoma, the boundary of the optic cup can become very steep and difficult to segment. Because of this difficulty, current automated surface segmentation algorithms will frequently fail in cases of deep cupping and provide a cup that is too shallow. In this work, we propose a 3-D graph-theoretic segmentation method based on the range expansion algorithm for accurate ILM segmentation in SD-OCT volumes of subjects with severe glaucoma. The performance of this approach was validated on 10 optic nerve head (ONH) centered OCT volumes obtained from 10 glaucomatous subjects. We computed the unsigned mean surface positioning (UMSP) error and unsigned average symmetric surface distance (UASSD) error with respect to manual tracings (ground truth) from one independent expert observer. Comparing to the widely used graph search method, our proposed method achieved a significant improvement in the UMSP error which was reduced from 7.69±3.23 μm to 6.35±1.35 μm (p <; 0.04), and in the UASSD error which was reduced from 3.86±0.54 μm to 3.40±0.17μm (p <; 0.07). It has high potential for future extension to multiple surface segmentation and clinical applicability.
Details
- Title: Subtitle
- Automated surface segmentation of internal limiting membrane in spectral-domain optical coherence tomography volumes with a deep cup using a 3-D range expansion approach
- Creators
- Abhay Shah - University of IowaJui-Kai Wang - Depts. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USAMona K Garvin - University of IowaMilan Sonka - University of IowaXiaodong Wu - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), pp.1405-1408
- DOI
- 10.1109/ISBI.2014.6868141
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Publisher
- IEEE
- Language
- English
- Date published
- 04/2014
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186688402771
Metrics
22 Record Views