5 Segmentation of OCT Scans Using Probabilistic Graphical Models
129
3. M. Wojtkowski, R. Leitgeb, A. Kowalczyk, T. Bajraszewski, A.F. Fercher, In vivo human
retinal imaging by Fourier domain optical coherence tomography. J. Biomed. Opt. 7(3), 457–
463 (2002)
4. C. Ahlers, C. Simader, W. Geitzenauer, G. Stock, P. Stetson, S. Dastmalchi, U. SchmidtErfurth, Automatic segmentation in three-dimensional analysis of fibrovascular pigmentepithelial detachment using high-definition optical coherence tomography. Brit. J. Ophthalmol.
92(2), 197–203 (2008)
5. D.C. Fernández, H.M. Salinas, C.A. Puliafito, Automated detection of retinal layer structures
on optical coherence tomography images. Opt. Express 13(25), 10200–10216 (2005)
6. H. Ishikawa, D.M. Stein, G. Wollstein, S. Beaton, J.G. Fujimoto, J.S. Schuman, Macular
segmentation with optical coherence tomography. Invest. Ophthalmol. Vis. Sci. 46(6), 2012–
2017 (2005)
7. M.A. Mayer, J. Hornegger, C.Y. Mardin, R.P. Tornow, Retinal nerve fiber layer segmentation
on FD-OCT scans of normal subjects and glaucoma patients. Biomed. Opt. Express 1(5),
1358–1383 (2010)
8. S.J. Chiu, X.T. Li, P. Nicholas, C.A. Toth, J.A. Izatt, S. Farsiu, Automatic segmentation of seven
retinal layers in SDOCT images congruent with expert manual segmentation. Opt. Express
18(18), 19413–19428 (2010)
9. S.J. Chiu, J.A. Izatt, R.V. O’Connell, K.P. Winter, C.A. Toth, S. Farsiu, Validated automatic
segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images.
Invest. Ophthalmol. Vis. Sci. 53(1), 53 (2012)
10. S.J. Chiu, M.J. Allingham, P.S. Mettu, S.W. Cousins, J.A. Izatt, S. Farsiu, Kernel regression
based segmentation of optical coherence tomography images with diabetic macular edema.
Biomed. Opt. Express 6(4), 1172–1194 (2015)
11. J. Tian, B. Varga, G.M. Somfai, W.H. Lee, W.E. Smiddy, D. Cabrera DeBuc, Real-time automatic segmentation of optical coherence tomography volume data of the macular region. PLOS
ONE 10(8), 1–20 (2015)
12. J. Tian, B. Varga, E. Tatrai, P. Fanni, G.M. Somfai, W.E. Smiddy, D.C. Debuc, Performance
evaluation of automated segmentation software on optical coherence tomography volume data.
J. Biophotonics 9(5), 478–489 (2016)
13. Duan, J., Tench, C., Gottlob, I., Proudlock, F., Bai, L.: Automated segmentation of retinal layers from optical coherent tomography images using geodesic distance. arXiv preprint
arXiv:1609.02214 (2016)
14. M.K. Garvin, M.D. Abrámoff, X. Wu, S.R. Russell, T.L. Burns, M. Sonka, Automated 3D intraretinal layer segmentation of macular spectral-domain optical coherence tomography
images. IEEE Trans. Med. Imaging 28(9), 1436–1447 (2009)
15. Q. Song, J. Bai, M. Garvin, M. Sonka, J. Buatti, X. Wu et al., Optimal multiple surface segmentation with shape and context priors. IEEE Trans. Med. Imaging 32(2), 376–386 (2013)
16. P. Dufour, L. Ceklic, H. Abdillahi, S. Schroder, S. De Dzanet, U. Wolf-Schnurrbusch, J. Kowal,
Graph-based multi-surface segmentation of OCT data using trained hard and soft constraints.
IEEE Trans. Med. Imaging 32(3), 531–543 (2013)
17. A. Lang, A. Carass, M. Hauser, E.S. Sotirchos, P.A. Calabresi, H.S. Ying, J.L. Prince, Retinal layer segmentation of macular OCT images using boundary classification. Biomed. Opt.
Express 4(7), 1133–1152 (2013)
18. V. Kaji´ c, B. Povazay, B. Hermann, B. Hofer, D. Marshall, P.L. Rosin, W. Drexler, Robust
segmentation of intraretinal layers in the normal human fovea using a novel statistical model
based on texture and shape analysis. Opt. Express 18(14), 14730–14744 (2010)
19. J. Friedman, T. Hastie, R. Tibshirani, Sparse inverse covariance estimation with the graphical
lasso. Biostatistics 9(3), 432–441 (2008)
20. F. Rathke, S. Schmidt, C. Schnörr, Probabilistic intra-retinal layer segmentation in 3-D OCT
images using global shape regularization. Med. Image Anal. 18(5), 781–794 (2014)
21. M.E. Tipping, C.M. Bishop, Probabilistic principal component analysis. J. R. Stat. Soc. 61(3),
611–622 (1999)
129
3. M. Wojtkowski, R. Leitgeb, A. Kowalczyk, T. Bajraszewski, A.F. Fercher, In vivo human
retinal imaging by Fourier domain optical coherence tomography. J. Biomed. Opt. 7(3), 457–
463 (2002)
4. C. Ahlers, C. Simader, W. Geitzenauer, G. Stock, P. Stetson, S. Dastmalchi, U. SchmidtErfurth, Automatic segmentation in three-dimensional analysis of fibrovascular pigmentepithelial detachment using high-definition optical coherence tomography. Brit. J. Ophthalmol.
92(2), 197–203 (2008)
5. D.C. Fernández, H.M. Salinas, C.A. Puliafito, Automated detection of retinal layer structures
on optical coherence tomography images. Opt. Express 13(25), 10200–10216 (2005)
6. H. Ishikawa, D.M. Stein, G. Wollstein, S. Beaton, J.G. Fujimoto, J.S. Schuman, Macular
segmentation with optical coherence tomography. Invest. Ophthalmol. Vis. Sci. 46(6), 2012–
2017 (2005)
7. M.A. Mayer, J. Hornegger, C.Y. Mardin, R.P. Tornow, Retinal nerve fiber layer segmentation
on FD-OCT scans of normal subjects and glaucoma patients. Biomed. Opt. Express 1(5),
1358–1383 (2010)
8. S.J. Chiu, X.T. Li, P. Nicholas, C.A. Toth, J.A. Izatt, S. Farsiu, Automatic segmentation of seven
retinal layers in SDOCT images congruent with expert manual segmentation. Opt. Express
18(18), 19413–19428 (2010)
9. S.J. Chiu, J.A. Izatt, R.V. O’Connell, K.P. Winter, C.A. Toth, S. Farsiu, Validated automatic
segmentation of AMD pathology including drusen and geographic atrophy in SD-OCT images.
Invest. Ophthalmol. Vis. Sci. 53(1), 53 (2012)
10. S.J. Chiu, M.J. Allingham, P.S. Mettu, S.W. Cousins, J.A. Izatt, S. Farsiu, Kernel regression
based segmentation of optical coherence tomography images with diabetic macular edema.
Biomed. Opt. Express 6(4), 1172–1194 (2015)
11. J. Tian, B. Varga, G.M. Somfai, W.H. Lee, W.E. Smiddy, D. Cabrera DeBuc, Real-time automatic segmentation of optical coherence tomography volume data of the macular region. PLOS
ONE 10(8), 1–20 (2015)
12. J. Tian, B. Varga, E. Tatrai, P. Fanni, G.M. Somfai, W.E. Smiddy, D.C. Debuc, Performance
evaluation of automated segmentation software on optical coherence tomography volume data.
J. Biophotonics 9(5), 478–489 (2016)
13. Duan, J., Tench, C., Gottlob, I., Proudlock, F., Bai, L.: Automated segmentation of retinal layers from optical coherent tomography images using geodesic distance. arXiv preprint
arXiv:1609.02214 (2016)
14. M.K. Garvin, M.D. Abrámoff, X. Wu, S.R. Russell, T.L. Burns, M. Sonka, Automated 3D intraretinal layer segmentation of macular spectral-domain optical coherence tomography
images. IEEE Trans. Med. Imaging 28(9), 1436–1447 (2009)
15. Q. Song, J. Bai, M. Garvin, M. Sonka, J. Buatti, X. Wu et al., Optimal multiple surface segmentation with shape and context priors. IEEE Trans. Med. Imaging 32(2), 376–386 (2013)
16. P. Dufour, L. Ceklic, H. Abdillahi, S. Schroder, S. De Dzanet, U. Wolf-Schnurrbusch, J. Kowal,
Graph-based multi-surface segmentation of OCT data using trained hard and soft constraints.
IEEE Trans. Med. Imaging 32(3), 531–543 (2013)
17. A. Lang, A. Carass, M. Hauser, E.S. Sotirchos, P.A. Calabresi, H.S. Ying, J.L. Prince, Retinal layer segmentation of macular OCT images using boundary classification. Biomed. Opt.
Express 4(7), 1133–1152 (2013)
18. V. Kaji´ c, B. Povazay, B. Hermann, B. Hofer, D. Marshall, P.L. Rosin, W. Drexler, Robust
segmentation of intraretinal layers in the normal human fovea using a novel statistical model
based on texture and shape analysis. Opt. Express 18(14), 14730–14744 (2010)
19. J. Friedman, T. Hastie, R. Tibshirani, Sparse inverse covariance estimation with the graphical
lasso. Biostatistics 9(3), 432–441 (2008)
20. F. Rathke, S. Schmidt, C. Schnörr, Probabilistic intra-retinal layer segmentation in 3-D OCT
images using global shape regularization. Med. Image Anal. 18(5), 781–794 (2014)
21. M.E. Tipping, C.M. Bishop, Probabilistic principal component analysis. J. R. Stat. Soc. 61(3),
611–622 (1999)