3 Speckle Noise Reduction and Enhancement for OCT Images
67
Fig. 3.12 A comparison between the segmented layers of a 650 × 512 × 128 Topcon 3D OCT-1000
imaging system using proposed method in [74]. From left to right: original image, denised image
by nonlocal homomorphic BiGaussRayMixShrinkL method, and local homomorphic BiGaussRayMixShrinkL method
of statistical and transform-based models can result in an optimum solution for OCT
enhancements as the current model usually are not able to satisfy all requirements
of clinicians. Some methods are able to preserve the edges while corrupt the important intra-retinal texture vs. the others which cannot keep the layers’ information
while they aim to keep the texture and attenuate the noise. It seems that finding an
optimum combination of mentioned image models for modeling layers, intra-retinal
textures and edges/textures of abnormalities in OCT images will guide us toward the
state-of-the-art OCT enhancement technique.
References
1. D. Huang, E.A. Swanson, C.P. Lin, J.S. Schuman, W.G. Stinson, W. Chang et al., Optical
coherence tomography. Science 254, 1178 (1991). (New York, NY)
2. B. Potsaid, I. Gorczynska, V.J. Srinivasan, Y. Chen, J. Jiang, A. Cable et al., Ultrahigh speed
spectral/Fourier domain OCT ophthalmic imaging at 70,000 to 312,500 axial scans per second.
Opt. Express 16, 15149–15169 (2008)
3. J. Izatt, M. Choma, Theory of optical coherence tomography, in Optical Coherence Tomography (Springer, Berlin, 2008), pp. 47–72
67
Fig. 3.12 A comparison between the segmented layers of a 650 × 512 × 128 Topcon 3D OCT-1000
imaging system using proposed method in [74]. From left to right: original image, denised image
by nonlocal homomorphic BiGaussRayMixShrinkL method, and local homomorphic BiGaussRayMixShrinkL method
of statistical and transform-based models can result in an optimum solution for OCT
enhancements as the current model usually are not able to satisfy all requirements
of clinicians. Some methods are able to preserve the edges while corrupt the important intra-retinal texture vs. the others which cannot keep the layers’ information
while they aim to keep the texture and attenuate the noise. It seems that finding an
optimum combination of mentioned image models for modeling layers, intra-retinal
textures and edges/textures of abnormalities in OCT images will guide us toward the
state-of-the-art OCT enhancement technique.
References
1. D. Huang, E.A. Swanson, C.P. Lin, J.S. Schuman, W.G. Stinson, W. Chang et al., Optical
coherence tomography. Science 254, 1178 (1991). (New York, NY)
2. B. Potsaid, I. Gorczynska, V.J. Srinivasan, Y. Chen, J. Jiang, A. Cable et al., Ultrahigh speed
spectral/Fourier domain OCT ophthalmic imaging at 70,000 to 312,500 axial scans per second.
Opt. Express 16, 15149–15169 (2008)
3. J. Izatt, M. Choma, Theory of optical coherence tomography, in Optical Coherence Tomography (Springer, Berlin, 2008), pp. 47–72