Conference proceeding
Automated multimodality concurrent classification for segmenting vessels in 3D spectral OCT and color fundus images
Proceedings of SPIE, Vol.7962(1), pp.796204-7962010
Medical Imaging 2011: Image Processing
03/07/2011
DOI: 10.1117/12.877880
Abstract
Segmenting vessels in spectral-domain optical coherence tomography (SD-OCT) volumes is particularly challenging in the region near and inside the neural canal opening (NCO). Furthermore, accurately segmenting them in color fundus photographs also presents a challenge near the projected NCO. However, both modalities also provide complementary information to help indicate vessels, such as a better NCO contrast from the NCO-aimed OCT projection image and a better vessel contrast inside the NCO from fundus photographs. We thus present a novel multimodal automated classification approach for simultaneously segmenting vessels in SD-OCT volumes and fundus photographs, with a particular focus on better segmenting vessels near and inside the NCO by using a combination of their complementary features. In particular, in each SD-OCT volume, the algorithm pre-segments the NCO using a graph-theoretic approach and then applies oriented Gabor wavelets with oriented NCO-based templates to generate OCT image features. After fundus-to-OCT registration, the fundus image features are computed using Gaussian filter banks and combined with OCT image features. A k-NN classifier is trained on 5 and tested on 10 randomly chosen independent image pairs of SD-OCT volumes and fundus images from 15 subjects with glaucoma. Using ROC analysis, we demonstrate an improvement over two closest previous works performed in single modal SD-OCT volumes with an area under the curve (AUC) of 0.87 (0.81 for our and 0.72 for Niemeijer's single modal approach) in the region around the NCO and 0.90 outside the NCO (0.84 for our and 0.81 for Niemeijer's single modal approach).
Details
- Title: Subtitle
- Automated multimodality concurrent classification for segmenting vessels in 3D spectral OCT and color fundus images
- Creators
- Zhihong Hu - The Univ. of Iowa (United States)Michael D Abràmoff - The Univ. of Iowa (United States) and Iowa City VA Medical Ctr. (United States)Meindert Niemeijer - The Univ. of Iowa (United States)Mona K Garvin - The Univ. of Iowa (United States) and Iowa City VA Medical Ctr. (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.7962(1), pp.796204-7962010
- Conference
- Medical Imaging 2011: Image Processing
- DOI
- 10.1117/12.877880
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/07/2011
- Academic Unit
- Ophthalmology and Visual Sciences; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9983806274602771
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