Robust extraction of the optic nerve head in optical coherence tomography

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3117, Issue , 2004, Pages 395-407

  Herzog, Artemas ^a   Boyer, Kim L ^a   Roberts, Cynthia ^b  

^a Ohio State University   (United States)

^b Department of Ophthalmology ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DIAGNOSIS; EYE PROTECTION; IMAGE ANALYSIS; IMAGE SEGMENTATION; IMAGING TECHNIQUES; MEDICAL IMAGING; OPHTHALMOLOGY; TOMOGRAPHY; ULTRASONIC APPLICATIONS;

AUTOMATIC SEGMENTATIONS; CURRENT DIAGNOSTICS; EARLY DIAGNOSIS; OPTIC NERVE; OPTIC NERVE HEAD; SIGNAL DEPENDENT NOISE; VISION LOSS;

OPTICAL TOMOGRAPHY;

EID: 35048857982     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27816-0_34     Document Type: Article

References (26)

1. Huang, D., Swanson, E.A., Lin, C.P., et al.: Optical coherence tomography. Science 254 (1991) 1178-1181
2. Welzel, J., Lankenau, E., Birngruber, R., Engelhardt, R.: Optical coherence tomography of the human skin. J. Am. Acad. Derm 37 (1997) 958-963
3. Brezinski, M.E., Tearney, G.J., Brett, B.E.: Imaging of coronary artery microstructure with optical coherence tomography. American Journal of Cardiology 77 (1996) 92-93
4. Hee, M.R., Izatt, J.A., Swanson, E.A., et al.: Optical coherence tomography for ophthalmic imaging. IEEE Engineering in Medicine and Biology 14 (1995) 67-76
5. Wang, R., Koozekanani, D., Roberts, C., Katz, S.: Reproducibility of retinal thickness measurements using optical coherence tomography. Investigative Ophthalmology and Visual Science 40 (1999) S125-S125
6. Zeiss-Humphrey: Optical coherence tomographer model 3000: User manual (2002)
7. Puliafito, C.A., Hee, M.R., Schuman, J.S., Fujimoto, J.G., eds.: Optical Coherence Tomography of Ocular Diseases. First edn. Slack, Thorofare (1996)
8. Boyd, B.F., Luntz, M.H., eds.: Innovations in the Glaucomas: Etiology, Diagnosis, and Management. First edn. Highlights of Ophthalmology Int'l, El Dorado (2002)
9. Tasman, W., Jaeger, E.A., eds.: The Willis Eye Hospital Atals of Clinical Ophthalmology. 2nd edn. Lippincott and Williams and Wilkins, Philadelphia (2001)
10. Bouma, B., Tearney, G.J., eds.: Handbook of Optical Coherence Tomography. 1st edn. Dekker, USA (2001)
11. Koozekanani, D., Boyer, K., Roberts, C.: Retinal thickness measurements in optical coherence tomography using a markov boundary model. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Volume 2., Hilton Head, SC (2000) 363-370
12. Schmitt, J.M.: Optical coherence tomography (oct): A review. IEEE Journal of Selected Topics in Quantum Electronics 5 (1999) 1205-1215
13. Loupas, T., McDicken, W.N., Allan, P.L.: An adpative weighted media filter for speckle suppression in medical ultrasonic images. IEEE Transactions on Circuits and Systems 36 (1989) 129-135
14. Czerwinski, R.N., Jones, D.L., Jr, W.D.O.: Ultrasound speckle reduction by directional median filtering. In: Proceeding of the 1995 International Conference on Image Processing. Volume 1. (1995) 358-361
15. Suvichakorn, A., Chinrungrueng, C.: Speckle noise reduction for ultrasound images. In: IEEE APCCAS 2000. (2000) 430-433
16. Park, J.M., Song, W.J., Pearlman, W.A.: Speckle filtering of sar images based on adaptive windowing. In: Visual Image Signal Processing. Volume 146. (1999) 430-433
17. Xiang, S.H., Zhou, L., Schmitt, J.M.: Speckle noise reduction for optical coherence tomography..In: Proc. SPIE. Volume 3196. (1997) 79-88
18. Otsu, N.: A threshold selection method from gray level histograms. IEEE Transactions on Systems, Man, and Cybernetics 9 (1979) 62-66
19. Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision (1988) 321-331
20. Berger, M., Mohr, R.: Towards autonomy in active contour models. In: IEEE: 10th International Conference on Pattern Recognition, Piscataway NJ (1990) 847-851
21. Cohen, L.D.: On active contour models and balloons. In: CVGIP - Image Understanding. Volume 53. (1991) 211-218
22. Duta, N., Sonka, M.: Segmentation and interpretation or mr brain images using an improved knowledge-based active shape model. In Duncan, J., Gindi, G., eds.: Information Processing in Medical Imaging, Berlin, Springer Verlag (1997) 375-380
23. Xu, C., Prince, J.L.: Snakes, shapes, and gradient vector flow. IEEE Transactions of Image Processing 7 (1998) 359-369
24. Thune, M., Olstad, B., Thune, N.: Edge detection in noisy data using finite mixture distribution analysis. Pattern Recognition 30 (1997) 685-699
25. Marr, D., Hildreth, E.: Theory of edge detection. Proceedings Royal Society,London 2076 (1980) 187-217
26. Sarkar, S., Boyer, K.: Optimal impulse response zero crossing based edge detectors. Computer Vision Graphics Image Process: Image Understanding 54 (1991) 224-243