Conference proceeding
Graph-based optimal multi-surface segmentation with a star-shaped prior: Application to the segmentation of the optic disc and cup
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), pp.525-528
04/2014
DOI: 10.1109/ISBI.2014.6867924
Abstract
A novel graph-based optimal segmentation method which can simultaneously segment multiple star-shaped surfaces is presented in this paper. Minimum and maximum surface distance constraints can be enforced between different surfaces. In addition, the segmented surfaces are ensured to be smooth by incorporating surface smoothness constraints which limit the variation between adjacent surface voxels. A consistent digital ray system is utilized to make sure the segmentation result is star-shaped and consistent, without interpolating image as required by other methods. To the best of our knowledge, the concept of consistent digital rays is for the first time introduced into the field of medical imaging. The problem is formulated as an MRF optimization problem which can be efficiently and exactly solved by computing a single min s-t cut in an appropriately constructed graph. The method is applied to the segmentation of the optic disc and cup on 70 registered fundus and SD-OCT images from glaucoma patients. The result shows improved accuracy by applying the proposed method (versus using a classification-based approach).
Details
- Title: Subtitle
- Graph-based optimal multi-surface segmentation with a star-shaped prior: Application to the segmentation of the optic disc and cup
- Creators
- Junjie Bai - University of IowaMohammad Saleh Miri - University of IowaYinxiao Liu - University of IowaPunam Saha - University of IowaMona Garvin - University of IowaXiaodong Wu - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), pp.525-528
- Publisher
- IEEE
- DOI
- 10.1109/ISBI.2014.6867924
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Language
- English
- Date published
- 04/2014
- Academic Unit
- Electrical and Computer Engineering; Radiology; Radiation Oncology; The Iowa Institute for Biomedical Imaging
- Record Identifier
- 9984197115402771
Metrics
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