Segmentation of Intra-retinal Layers in 3D Optic Nerve Head Images

Spectral-Domain Optical Coherence Tomography (SD-OCT) is a non-invasive imaging modality, which provides retinal structures with unprecedented detail in 3D. In this paper, we propose an automated segmentation method to detect intra-retinal layers in SD-OCT images around optic nerve head acquired from a high resolution RTVue-100 SD-OCT (Optovue, Fremont, CA, USA). This method starts by removing all the OCT imaging artifacts including the speckle noise and enhancing the contrast between layers using the 3D nonlinear anisotropic. Afterwards, we combine the level set method, k-means and MRF method to segment three intra-retinal layers around optical nerve head. The segmentation results show that our method can effectively delineate the surfaces of the retinal tissues in the noisy 3D optic nerve head images. The signed and unsigned significant differences between the segmentation results and the ground truth over optic nerve head B-scans are 1.01 \(\pm \) 1.13 and 1.93 \(\pm \) 2.21.

[1]  Quan Wang,et al.  GMM-Based Hidden Markov Random Field for Color Image and 3D Volume Segmentation , 2012, ArXiv.

[2]  Guido Gerig,et al.  Nonlinear anisotropic filtering of MRI data , 1992, IEEE Trans. Medical Imaging.

[3]  Ghassan Hamarneh,et al.  Recovery of Dynamic PET Regions via Simultaneous Segmentation and Deconvolution , 2008 .

[4]  WileyDavid,et al.  Segmentation of Three-dimensional Retinal Image Data , 2007 .

[5]  Gjlles Aubert,et al.  Mathematical problems in image processing , 2001 .

[6]  Xiaodong Wu,et al.  Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search , 2008, IEEE Transactions on Medical Imaging.

[7]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[8]  Milan Sonka,et al.  Parallel graph search: application to intraretinal layer segmentation of 3D macular OCT scans , 2012, Medical Imaging.

[9]  J. Schuman,et al.  Optical coherence tomography. , 2000, Science.

[10]  Xiaodong Wu,et al.  Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images , 2009, IEEE Transactions on Medical Imaging.

[11]  Bernd Hamann,et al.  Segmentation of Three-dimensional Retinal Image Data , 2007, IEEE Transactions on Visualization and Computer Graphics.

[12]  Ghassan Hamarneh,et al.  Segmentation of Intra-Retinal Layers From Optical Coherence Tomography Images Using an Active Contour Approach , 2011, IEEE Transactions on Medical Imaging.

[13]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[14]  Tuan Ho,et al.  FloatingCanvas: quantification of 3D retinal structures from spectral-domain optical coherence tomography. , 2010, Optics express.

[15]  Milan Sonka,et al.  Segmentation of the Optic Disc in 3-D OCT Scans of the Optic Nerve Head , 2010, IEEE Transactions on Medical Imaging.

[16]  Jerry L Prince,et al.  Retinal layer segmentation of macular OCT images using boundary classification , 2013, Biomedical optics express.

[17]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.

[18]  Milan Sonka,et al.  Intra-retinal layer segmentation of 3D optical coherence tomography using coarse grained diffusion map , 2012, Medical Image Anal..

[19]  Milan Sonka,et al.  Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve head. , 2009, Investigative ophthalmology & visual science.

[20]  Joseph A. Izatt,et al.  Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation , 2010, Optics express.