6 Diagnostic Capability of Optical Coherence Tomography …
163
122. E.C. Davies, K.M. Galetta, D.J. Sackel, L.S. Talman, E.M. Frohman et al., Retinal ganglion
cell layer volumetric assessment by spectral-domain optical coherence tomography in multiple
sclerosis: application of a high-precision manual estimation technique. J. Neuroophthalmol.
31, 260–264 (2011)
123. S.B. Syc, S. Saidha, S.D. Newsome, J.N. Ratchford, M. Levy et al., Optical coherence tomography segmentation reveals ganglion cell layer pathology after optic neuritis. Brain 135,
521–533 (2012). https://doi.org/10.1093/brain/awr264
124. A. Klistorner, H. Arvind, T. Nguyen, R. Garrick, M. Paine et al., Multifocal VEP and OCT in
optic neuritis: a topographical study of the structure-function relationship. Doc. Ophthalmol.
118, 129–137 (2009)
125. A.J. Green, S. McQuaid, S.L. Hauser, I.V. Allen, R. Lyness, Ocular pathology in multiple sclerosis: retinal atrophy and inflammation irrespective of disease duration. Brain 133, 1591–1601
(2010)
126. J.B. Kerrison, T. Flynn, W.R. Green, Retinal pathologic changes in multiple sclerosis. Retina
14, 445–451 (1994)
127. F. Costello, W. Hodge, Y.I. Pan, E. Eggenberger, M.S. Freedman, Using retinal architecture
to help characterize multiple sclerosis patients. Can. J. Ophthalmol. 45, 520–526 (2010)
128. J.B. Fisher, D.A. Jacobs, C.E. Markowitz, S.L. Galetta, N.J. Volpe et al., Relation of visual
function to retinal nerve fiber layer thickness in multiple sclerosis. Ophthalmology 113,
324–332 (2006)
129. A.P. Henderson, S.A. Trip, P.G. Schlottmann, D.R. Altmann, D.F. Garway-Heath et al., An
investigation of the retinal nerve fibre layer in progressive multiple sclerosis using optical
coherence tomography. Brain 131, 277–287 (2008)
130. S. Saidha, S.B. Syc, M.A. Ibrahim, C. Eckstein, C.V. Warner et al., Primary retinal pathology
in multiple sclerosis as detected by optical coherence tomography. Brain 134, 518–533 (2011)
131. A. Garas, P. Vargha, G. Hollo, Diagnostic accuracy of nerve fibre layer, macular thickness and
optic disc measurements made with the RTVue-100 optical coherence tomograph to detect
glaucoma. Eye (Lond.) 25, 57–65 (2011)
132. N.R. Kim, E.S. Lee, G.J. Seong, J.H. Kim, H.G. An et al., Structure-function relationship and
diagnostic value of macular ganglion cell complex measurement using Fourier-domain OCT
in glaucoma. Invest. Ophthalmol. Vis. Sci. 51, 4646–4651 (2010)
133. A. Schulze, J. Lamparter, N. Pfeiffer, F. Berisha, I. Schmidtmann et al., Diagnostic ability of
retinal ganglion cell complex, retinal nerve fiber layer, and optic nerve head measurements by
Fourier-domain optical coherence tomography. Graefes Arch. Clin. Exp. Ophthalmol. 249,
1039–1045 (2011)
134. O. Tan, V. Chopra, A.T. Lu, J.S. Schuman, H. Ishikawa et al., Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography. Ophthalmology
116(2305–2314), e2301–e2302 (2009)
135. K.W. Gossage, T.S. Tkaczyk, J.J. Rodriguez, J.K. Barton, Texture analysis of optical coherence
tomography images: feasibility for tissue classification. J. Biomed. Opt. 8(3), 570–575 (2003).
https://doi.org/10.1117/1.1577575. PubMed PMID: 12880366
136. T. Gneiting, M. Schlather, Stochastic models that separate fractal dimension and the Hurst
effect. SIAM Rev. 46(2), 269–282 (2004). https://doi.org/10.1137/s0036144501394387
137. N. Sarkar, B.B. Chaudhuri, An efficient approach to estimate fractal dimension of textural
images. Pattern Recogn. 25(9), 1035–1041 (1992). https://doi.org/10.1016/0031-3203(92)90
066-R
138. M. Hasegawa, J. Liu, K. Okuda, M. Nunobiki, Calculation of the fractal dimensions of
machined surface profiles. Wear 192(1), 40–45 (1996)
139. Y. Huang, Optical coherence tomography (OCT) in hereditary retinal degeneration: layer-bylayer analysis in normal and diseased retinas. Ph.D. dissertation, University of Pennsylvania,
1999
140. V.D. Svet, About holographic (interferometric) approach to the primary visual perception
(2013)
163
122. E.C. Davies, K.M. Galetta, D.J. Sackel, L.S. Talman, E.M. Frohman et al., Retinal ganglion
cell layer volumetric assessment by spectral-domain optical coherence tomography in multiple
sclerosis: application of a high-precision manual estimation technique. J. Neuroophthalmol.
31, 260–264 (2011)
123. S.B. Syc, S. Saidha, S.D. Newsome, J.N. Ratchford, M. Levy et al., Optical coherence tomography segmentation reveals ganglion cell layer pathology after optic neuritis. Brain 135,
521–533 (2012). https://doi.org/10.1093/brain/awr264
124. A. Klistorner, H. Arvind, T. Nguyen, R. Garrick, M. Paine et al., Multifocal VEP and OCT in
optic neuritis: a topographical study of the structure-function relationship. Doc. Ophthalmol.
118, 129–137 (2009)
125. A.J. Green, S. McQuaid, S.L. Hauser, I.V. Allen, R. Lyness, Ocular pathology in multiple sclerosis: retinal atrophy and inflammation irrespective of disease duration. Brain 133, 1591–1601
(2010)
126. J.B. Kerrison, T. Flynn, W.R. Green, Retinal pathologic changes in multiple sclerosis. Retina
14, 445–451 (1994)
127. F. Costello, W. Hodge, Y.I. Pan, E. Eggenberger, M.S. Freedman, Using retinal architecture
to help characterize multiple sclerosis patients. Can. J. Ophthalmol. 45, 520–526 (2010)
128. J.B. Fisher, D.A. Jacobs, C.E. Markowitz, S.L. Galetta, N.J. Volpe et al., Relation of visual
function to retinal nerve fiber layer thickness in multiple sclerosis. Ophthalmology 113,
324–332 (2006)
129. A.P. Henderson, S.A. Trip, P.G. Schlottmann, D.R. Altmann, D.F. Garway-Heath et al., An
investigation of the retinal nerve fibre layer in progressive multiple sclerosis using optical
coherence tomography. Brain 131, 277–287 (2008)
130. S. Saidha, S.B. Syc, M.A. Ibrahim, C. Eckstein, C.V. Warner et al., Primary retinal pathology
in multiple sclerosis as detected by optical coherence tomography. Brain 134, 518–533 (2011)
131. A. Garas, P. Vargha, G. Hollo, Diagnostic accuracy of nerve fibre layer, macular thickness and
optic disc measurements made with the RTVue-100 optical coherence tomograph to detect
glaucoma. Eye (Lond.) 25, 57–65 (2011)
132. N.R. Kim, E.S. Lee, G.J. Seong, J.H. Kim, H.G. An et al., Structure-function relationship and
diagnostic value of macular ganglion cell complex measurement using Fourier-domain OCT
in glaucoma. Invest. Ophthalmol. Vis. Sci. 51, 4646–4651 (2010)
133. A. Schulze, J. Lamparter, N. Pfeiffer, F. Berisha, I. Schmidtmann et al., Diagnostic ability of
retinal ganglion cell complex, retinal nerve fiber layer, and optic nerve head measurements by
Fourier-domain optical coherence tomography. Graefes Arch. Clin. Exp. Ophthalmol. 249,
1039–1045 (2011)
134. O. Tan, V. Chopra, A.T. Lu, J.S. Schuman, H. Ishikawa et al., Detection of macular ganglion cell loss in glaucoma by Fourier-domain optical coherence tomography. Ophthalmology
116(2305–2314), e2301–e2302 (2009)
135. K.W. Gossage, T.S. Tkaczyk, J.J. Rodriguez, J.K. Barton, Texture analysis of optical coherence
tomography images: feasibility for tissue classification. J. Biomed. Opt. 8(3), 570–575 (2003).
https://doi.org/10.1117/1.1577575. PubMed PMID: 12880366
136. T. Gneiting, M. Schlather, Stochastic models that separate fractal dimension and the Hurst
effect. SIAM Rev. 46(2), 269–282 (2004). https://doi.org/10.1137/s0036144501394387
137. N. Sarkar, B.B. Chaudhuri, An efficient approach to estimate fractal dimension of textural
images. Pattern Recogn. 25(9), 1035–1041 (1992). https://doi.org/10.1016/0031-3203(92)90
066-R
138. M. Hasegawa, J. Liu, K. Okuda, M. Nunobiki, Calculation of the fractal dimensions of
machined surface profiles. Wear 192(1), 40–45 (1996)
139. Y. Huang, Optical coherence tomography (OCT) in hereditary retinal degeneration: layer-bylayer analysis in normal and diseased retinas. Ph.D. dissertation, University of Pennsylvania,
1999
140. V.D. Svet, About holographic (interferometric) approach to the primary visual perception
(2013)