3 Speckle Noise Reduction and Enhancement for OCT Images
71
76. N.G. Kingsbury, The dual-tree complex wavelet transform: a new technique for shift invariance
and directional filters, in Proceedings 8th IEEE DSP Workshop, Utah (1998), p. 86
77. E. Candes, L. Demanet, D. Donoho, L. Ying, Fast discrete curvelet transforms. Multiscale
Model. Simul. 5, 861–899 (2006)
78. E. Le Pennec, S. Mallat, Bandelet image approximation and compression. Multiscale Model.
Simul. 4, 992–1039 (2005)
79. M.N. Do, M. Vetterli, The contourlet transform: an efficient directional multiresolution image
representation. IEEE Trans. Image Process. 14, 2091–2106 (2005)
80. H. Chauris, I. Karoui, P. Garreau, H. Wackernagel, P. Craneguy, L. Bertino, The circlet transform: a robust tool for detecting features with circular shapes. Comput. Geosci. 37, 331–342
(2011)
81. Y. Lu, M.N. Do, 3-D directional filter banks and surfacelets, in SPIE Optics & Photonics
(2005), p. 59141Q
82. P. Comon, Independent component analysis, a new concept? Sig. Process. 36, 287–314 (1994)
83. K. Engan, S.O. Aase, J. Husoy, Frame based signal compression using method of optimal
directions (MOD), in IEEE International Symposium on Circuits and Systems (1999), pp. 1–4
84. N. Iftimia, B.E. Bouma, G.J. Tearney, Speckle reduction in optical coherence tomography by
“path length encoded” angular compounding. J. Biomed. Opt. 8, 260–263 (2003)
85. L. Ramrath, G. Moreno, H. Mueller, T. Bonin, G. Huettmann, A. Schweikard, Towards multidirectional OCT for speckle noise reduction, in Medical Image Computing and ComputerAssisted Intervention–MICCAI 2008 (Springer, Berlin, 2008), pp. 815–823
86. M. Hughes, M. Spring, A. Podoleanu, Speckle noise reduction in optical coherence tomography of paint layers. Appl. Opt. 49, 99–107 (2010)
87. A. Desjardins, B. Vakoc, G. Tearney, B. Bouma, Speckle reduction in OCT using massivelyparallel detection and frequency-domain ranging. Opt. Express 14, 4736–4745 (2006)
88. M. Pircher, E. Go, R. Leitgeb, A.F. Fercher, C.K. Hitzenberger, Speckle reduction in optical
coherence tomography by frequency compounding. J. Biomed. Opt. 8, 565–569 (2003)
89. B. Sander, M. Larsen, L. Thrane, J. Hougaard, T. Jørgensen, Enhanced optical coherence
tomography imaging by multiple scan averaging. Br. J. Ophthalmol. 89, 207–212 (2005)
90. E. Götzinger, M. Pircher, C.K. Hitzenberger, High speed spectral domain polarization sensitive
optical coherence tomography of the human retina. Opt. Express 13, 10217–10229 (2005)
91. T.M. Jørgensen, J. Thomadsen, U. Christensen, W. Soliman, B. Sander, Enhancing the signalto-noise ratio in ophthalmic optical coherence tomography by image registration—method
and clinical examples. J. Biomed. Opt. 12, 041208–041210 (2007)
92. R.D. Ferguson, D.X. Hammer, L.A. Paunescu, S. Beaton, J.S. Schuman, Tracking optical
coherence tomography. Opt. Lett. 29, 2139–2141 (2004)
93. M.R. Hee, J.A. Izatt, E.A. Swanson, D. Huang, J.S. Schuman, C.P. Lin et al., Optical coherence
tomography of the human retina. Arch. Ophthalmol. 113, 325–332 (1995)
94. A. George, J. Dillenseger, A. Weber, A. Pechereau, Optical coherence tomography image
processing. Investigat. Ophthalmol. Vis. Sci. 41, 165–173 (2000)
95. D. Koozekanani, K. Boyer, C. Roberts, Retinal thickness measurements from optical coherence tomography using a Markov boundary model. IEEE Trans. Med. Imaging 20, 900–916
(2001)
96. J. Rogowska, M.E. Brezinski, Image processing techniques for noise removal, enhancement
and segmentation of cartilage OCT images. Phys. Med. Biol. 47, 641 (2002)
97. M. Shahidi, Z. Wang, R. Zelkha, Quantitative thickness measurement of retinal layers imaged
by optical coherence tomography. Am. J. Ophthalmol. 139, 1056–1061 (2005)
98. K.L. Boyer, A. Herzog, C. Roberts, Automatic recovery of the optic nervehead geometry in
optical coherence tomography. IEEE Trans. Med. Imaging 25, 553–570 (2006)
99. V.J. Srinivasan, B.K. Monson, M. Wojtkowski, R.A. Bilonick, I. Gorczynska, R. Chen et al.,
Characterization of outer retinal morphology with high-speed, ultrahigh-resolution optical
coherence tomography. Invest. Ophthalmol. Vis. Sci. 49, 1571–1579 (2008)
71
76. N.G. Kingsbury, The dual-tree complex wavelet transform: a new technique for shift invariance
and directional filters, in Proceedings 8th IEEE DSP Workshop, Utah (1998), p. 86
77. E. Candes, L. Demanet, D. Donoho, L. Ying, Fast discrete curvelet transforms. Multiscale
Model. Simul. 5, 861–899 (2006)
78. E. Le Pennec, S. Mallat, Bandelet image approximation and compression. Multiscale Model.
Simul. 4, 992–1039 (2005)
79. M.N. Do, M. Vetterli, The contourlet transform: an efficient directional multiresolution image
representation. IEEE Trans. Image Process. 14, 2091–2106 (2005)
80. H. Chauris, I. Karoui, P. Garreau, H. Wackernagel, P. Craneguy, L. Bertino, The circlet transform: a robust tool for detecting features with circular shapes. Comput. Geosci. 37, 331–342
(2011)
81. Y. Lu, M.N. Do, 3-D directional filter banks and surfacelets, in SPIE Optics & Photonics
(2005), p. 59141Q
82. P. Comon, Independent component analysis, a new concept? Sig. Process. 36, 287–314 (1994)
83. K. Engan, S.O. Aase, J. Husoy, Frame based signal compression using method of optimal
directions (MOD), in IEEE International Symposium on Circuits and Systems (1999), pp. 1–4
84. N. Iftimia, B.E. Bouma, G.J. Tearney, Speckle reduction in optical coherence tomography by
“path length encoded” angular compounding. J. Biomed. Opt. 8, 260–263 (2003)
85. L. Ramrath, G. Moreno, H. Mueller, T. Bonin, G. Huettmann, A. Schweikard, Towards multidirectional OCT for speckle noise reduction, in Medical Image Computing and ComputerAssisted Intervention–MICCAI 2008 (Springer, Berlin, 2008), pp. 815–823
86. M. Hughes, M. Spring, A. Podoleanu, Speckle noise reduction in optical coherence tomography of paint layers. Appl. Opt. 49, 99–107 (2010)
87. A. Desjardins, B. Vakoc, G. Tearney, B. Bouma, Speckle reduction in OCT using massivelyparallel detection and frequency-domain ranging. Opt. Express 14, 4736–4745 (2006)
88. M. Pircher, E. Go, R. Leitgeb, A.F. Fercher, C.K. Hitzenberger, Speckle reduction in optical
coherence tomography by frequency compounding. J. Biomed. Opt. 8, 565–569 (2003)
89. B. Sander, M. Larsen, L. Thrane, J. Hougaard, T. Jørgensen, Enhanced optical coherence
tomography imaging by multiple scan averaging. Br. J. Ophthalmol. 89, 207–212 (2005)
90. E. Götzinger, M. Pircher, C.K. Hitzenberger, High speed spectral domain polarization sensitive
optical coherence tomography of the human retina. Opt. Express 13, 10217–10229 (2005)
91. T.M. Jørgensen, J. Thomadsen, U. Christensen, W. Soliman, B. Sander, Enhancing the signalto-noise ratio in ophthalmic optical coherence tomography by image registration—method
and clinical examples. J. Biomed. Opt. 12, 041208–041210 (2007)
92. R.D. Ferguson, D.X. Hammer, L.A. Paunescu, S. Beaton, J.S. Schuman, Tracking optical
coherence tomography. Opt. Lett. 29, 2139–2141 (2004)
93. M.R. Hee, J.A. Izatt, E.A. Swanson, D. Huang, J.S. Schuman, C.P. Lin et al., Optical coherence
tomography of the human retina. Arch. Ophthalmol. 113, 325–332 (1995)
94. A. George, J. Dillenseger, A. Weber, A. Pechereau, Optical coherence tomography image
processing. Investigat. Ophthalmol. Vis. Sci. 41, 165–173 (2000)
95. D. Koozekanani, K. Boyer, C. Roberts, Retinal thickness measurements from optical coherence tomography using a Markov boundary model. IEEE Trans. Med. Imaging 20, 900–916
(2001)
96. J. Rogowska, M.E. Brezinski, Image processing techniques for noise removal, enhancement
and segmentation of cartilage OCT images. Phys. Med. Biol. 47, 641 (2002)
97. M. Shahidi, Z. Wang, R. Zelkha, Quantitative thickness measurement of retinal layers imaged
by optical coherence tomography. Am. J. Ophthalmol. 139, 1056–1061 (2005)
98. K.L. Boyer, A. Herzog, C. Roberts, Automatic recovery of the optic nervehead geometry in
optical coherence tomography. IEEE Trans. Med. Imaging 25, 553–570 (2006)
99. V.J. Srinivasan, B.K. Monson, M. Wojtkowski, R.A. Bilonick, I. Gorczynska, R. Chen et al.,
Characterization of outer retinal morphology with high-speed, ultrahigh-resolution optical
coherence tomography. Invest. Ophthalmol. Vis. Sci. 49, 1571–1579 (2008)