3D reconstruction of the optic nerve head using stereo fundus images for computer-aided diagnosis of glaucoma

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7624, Issue , 2010, Pages

  Tang, Li ^a   Kwon, Young H ^a   Alward, Wallace L M ^a   Greenlee, Emily C ^a   Lee, Kyungmoo ^b   Garvin, Mona K ^b   Abràmoff, Michael D ^a,b,c  

^a UNIVERSITY OF IOWA   (United States)

^b IA United States   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

fundus images; glaucoma; optic disc; Optic nerve head; optical coherence tomography; stereo matching

Indexed keywords

ALGORITHMS; COLOR MATCHING; DIAGNOSIS; EYE PROTECTION; IMAGE MATCHING; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; MEDICAL IMAGING; OPHTHALMOLOGY; OPTICAL TOMOGRAPHY; PIXELS; STEREO IMAGE PROCESSING; TOMOGRAPHY; VECTOR SPACES;

FUNDUS IMAGE; GLAUCOMA; OPTIC DISC; OPTIC NERVE HEAD; STEREO MATCHING;

COMPUTER AIDED DIAGNOSIS;

EID: 78650194090     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.843912     Document Type: Conference Paper

References (22)

1. S. Kingman, "Glaucoma is second leading cause of blindness globally," Bull World Health Organ, vol. 82, pp. 887-888, 2004.
2. M. D. Abramoff, et al., "Automated segmentation of the optic disc from stereo color photographs using physiologically plausible features," Invest Ophthalmol Vis Sci, vol. 48, pp. 1665-73, Apr 2007.
3. J. S. Schuman, et al., "Optical coherence tomography: a new tool for glaucoma diagnosis," Curr Opin Ophthalmol, vol. 6, pp. 89-95, Apr 1995.
4. D. M. a. T. Poggio, "Cooperative Computation of Stereo Disparity," Science, pp. 194: 209-236, 1976.
5. S. T. Barnard and W. B. Thompson, "Disparity analysis of images," IEEE Trans Patt Anal Mach Intell, vol. 2, pp. 333-340, 1980.
6. R. K. A. O. F. Jean-Philippe Pons, "Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score," International Journal of Computer Vision, vol. 72, pp. 179-193, 2007.
7. C. L. Z. a. T. Kanade, "A Cooperative Algorithm for Stereo Matching and Occlusion Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, pp. 675-684, 2000.
8. D. B. Myron Z. Brown, Gregory D. Hager, "Advances in computational stereo," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, pp. 993-1008, 2003.
9. D. Scharstein and R. Szeliski, "A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms," International Journal of Computer Vision, vol. 47, pp. 7-42, 2002.
10. D. Marr, Vision. New York: Freeman and Company, 2005.
11. W. L. M. A. Michael D. Abramoff, Emily C. Greenlee, Lesya Shuba, Chan Y. Kim, John H. Fingert, Young H. Kwon, "Automated Segmentation of the Optic Disc from Stereo Color Photographs Using Physiologically Plausible Features," Investigative Ophthalmology and Visual Science, pp. 48: 1665-1673, 2007.
12. N. Qian and Y. Zhu, "Physiological Computation of Binocular Disparity," Vision Res., vol. 37, pp. 1811-1827, 1997.
13. Q. N. Chen Y, "A coarse-to-fine disparity energy model with both phase-shift and position-shift receptive field mechanisms," Neural Comput., vol. 16, pp. 1545-77, 2004.
14. B. M. t. H. Romeny, Front-End Vision and Multi-Scale Image Analysis: Multi-Scale Computer Vision Theory and Applications. Berlin: Springer, Kluwer Academic Publishers, 2003.
15. D. G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," International Journal of Computer Vision, vol. 60, pp. 91-110, 2004.
16. K. S. Mikolajczyk, C., "A performance evaluation of local descriptors," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, pp. 1615-1630, 2005.
17. A. B. N. Papenberg, T. Brox, S. Didas, J. Weickert, "Highly accurate optic flow computation with theoretically justified warping," International Journal of Computer Vision, vol. 67, pp. 141-158, 2006.
18. M. Niemeijer, et al., "Automated localization of the optic disc and the fovea," Conf Proc IEEE Eng Med Biol Soc, vol. 2008, pp. 3538-41, 2008.
19. M. Haeker, et al., "Use of varying constraints in optimal 3-D graph search for segmentation of macular optical coherence tomography images," Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv, vol. 10, pp. 244-51, 2007.
20. M. Haeker, et al., "Segmentation of the surfaces of the retinal layer from OCT images," Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv, vol. 9, pp. 800-7, 2006.
21. K. N. Lee, M; Garvin MK; Kwon, YH; Sonka, M; Abramoff, MD, "3-D segmentation of the rim and cup in spectral-domain optical coherence tomography volumes of the optic nerve head," Proc. SPIE 2009, 2009.
22. M. D. A. M.K. Garvin, R. Kardon, S.R. Russell, X. Wu and M. Sonka, "Intraretinal layer segmentation of macular optical coherence tomography images using optimal 3-D graph search," IEEE Trans. Medical Imaging, pp. 27(10): 1495-1505, 2008.