Conference proceeding
Vessel segmentation in images of optical coherence tomography using shadow information and thickening of Retinal Nerve Fiber Layer
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1075-1079
05/2013
DOI: 10.1109/ICASSP.2013.6637815
Abstract
The correct segmentation of blood vessels in optical coherence tomography (OCT) images is an important requirement for better diagnosis of many retinal diseases. Although OCT blood vessel segmentation is often performed by applying vessel detection methods on 2D projection of OCT datasets, some papers investigate the vessel segmentation on OCT slices. The presence of shadows in outer retinal layers is established as the main factor for vessel localization; however, the shadow information fails to localize many important blood vessels. The proposed method is based on anatomical changes of Retinal Nerve Fiber Layer (RNFL) in presence of vessels. In this paper we find the thickening of RNFL by applying a layer segmentation algorithm on OCT slices and combine this information with shadow localization. Furthermore, a vessel detection method based on curvelet transform is also applied on 2D projection of OCTs to be added to localized vessels from OCTs. The results show that combination of vessel detection on 2D projection with vessel localization on OCTs can improve the accuracy up to 0.96 which is promisingly higher than older methods.
Details
- Title: Subtitle
- Vessel segmentation in images of optical coherence tomography using shadow information and thickening of Retinal Nerve Fiber Layer
- Creators
- Raheleh Kafieh - Biomed. Eng. Dept., Isfahan Univ. of Med. Sci., Isfahan, IranHajar Danesh - Biomed. Eng. Dept., Isfahan Univ. of Med. Sci., Isfahan, IranHossein Rabbani - Biomed. Eng. Dept., Isfahan Univ. of Med. Sci., Isfahan, IranMichael Abramoff - Iowa Inst. for Biomed. Imaging, Univ. of Iowa, Iowa City, IA, USAMilan Sonka - Iowa Inst. for Biomed. Imaging, Univ. of Iowa, Iowa City, IA, USA
- Resource Type
- Conference proceeding
- Publication Details
- 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.1075-1079
- DOI
- 10.1109/ICASSP.2013.6637815
- ISSN
- 1520-6149
- eISSN
- 2379-190X
- Publisher
- IEEE
- Language
- English
- Date published
- 05/2013
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984060665502771
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