基于空间连续性约束的视乳头区域视网膜内层次分割与参数测量（英文）
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摘要
光学相干断层扫描(OCT)是一种无创的成像技术,通常通过评估视网膜层的形态结构来诊断青光眼。为了准确分割视乳头(ONH)区域OCT图像中的视网膜内层次,提出一种自动分割视网膜内层次的方法。该方法能够在血管阴影、多个高反射区相互影响的情况下分割出ILM、IS-OS和BM。然后,构造出一种新的能量约束条件,称为空间连续性约束,用于修正相邻图像之间分割结果的不连续性。在实验中,随机选择20张图像,其中每张图像含有3条专家标定的分割线。相比较于目前最好算法–1.43μm的Signed误差,我们提出的方法获得了–0.80μm的Signed误差。同时,该分割结果能够为青光眼的诊断过程提供辅助信息。
For the diagnosis of glaucoma, optical coherence tomography(OCT) is a noninvasive imaging technique for the assessment of retinal layers.To accurately segment intraretinal layers in an optic nerve head(ONH) region, we proposed an automatic method for the segmentation of three intraretinal layers in eye OCT scans centered on ONH.The internal limiting membrane, inner segment and outer segment, Bruch's membrane surfaces under vascular shadows, and interaction of multiple high-reflectivity regions in the OCT image can be accurately segmented through this method.Then, we constructed a novel spatial-gradient continuity constraint, termed spatial-gradient continuity constraint, for the correction of discontinuity between adjacent image segmentation results.In our experiment, we randomly selected 20 B-scans, each annotated three retinal layers by experts.Signed distance errors of-0.80 μm obtained through this method are lower than those obtained through the state-of-art method(-1.43 μm).Meanwhile, the segmentation results can be used as bases for the diagnosis of glaucoma.
For the diagnosis of glaucoma, optical coherence tomography(OCT) is a noninvasive imaging technique for the assessment of retinal layers.To accurately segment intraretinal layers in an optic nerve head(ONH) region, we proposed an automatic method for the segmentation of three intraretinal layers in eye OCT scans centered on ONH.The internal limiting membrane, inner segment and outer segment, Bruch's membrane surfaces under vascular shadows, and interaction of multiple high-reflectivity regions in the OCT image can be accurately segmented through this method.Then, we constructed a novel spatial-gradient continuity constraint, termed spatial-gradient continuity constraint, for the correction of discontinuity between adjacent image segmentation results.In our experiment, we randomly selected 20 B-scans, each annotated three retinal layers by experts.Signed distance errors of-0.80 μm obtained through this method are lower than those obtained through the state-of-art method(-1.43 μm).Meanwhile, the segmentation results can be used as bases for the diagnosis of glaucoma.
引文
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[12]SHAH A,WANG J K,GARVIN M K,SONKA M,WUXiao-dong.Automated surface segmentation of internal limiting membrane in spectral-domain optical coherence tomography volumes with a deep cup using a 3-D range expansion approach[C]//2014 IEEE 11th International Symposium on Biomedical Imaging(ISBI).IEEE,2014:1405-1408.
[13]LEE K,NIEMEIJER M,GARVIN M K,KWON Y H,SONKA M,ABRAMOFF M D.Segmentation of the optic disc in 3-D OCT scans of the optic nerve head[J].IEEETransactions on Medical Imaging,2010,29(1):159-168.
[14]MIRI M S,ROBLES V A,ABRàMOFF M D,KWON Y H,GARVIN M K.Incorporation of gradient vector flow field in a multimodal graph-theoretic approach for segmenting the internal limiting membrane from glaucomatous optic nerve head-centered SD-OCT volumes[J].Computerized Medical Imaging and Graphics,2017,55:87-94.
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[16]CHAN T F,VESE L A.Active contours without edges[J].IEEE Transactions on Image Processing,2001,10(2):266-277.
[17]DABOV K,FOI A,KATKOVNIK V,EGIAZARIAN,K.Image denoising by sparse 3-D transform-domain collaborative filtering[J].IEEE Transactions on Image Processing,2007,16(8):2080-2095.
[18]LIU Qing,ZOU Bei-ji,CHEN Jie,KE Wei,YUE Ke-juan,CHEN Zai-liang,ZHAO Guo-ying.A location-tosegmentation strategy for automatic exudate segmentation in colour retinal fundus images[J].Computerized Medical Imaging and Graphics,2017,55:78-86.
[19]YAO Chang,CHEN Hou-jin.Automated retinal blood vessels segmentation based on simplified PCNN and fast2D-Otsu algorithm[J].Journal of Central South University of Technology,2009,16(4):640-646.
[20]LI Song-feng,WANG Xiao-zhen,LI Shu-ning,WU Ge-wei,WANG Ning-li.Evaluation of optic nerve head and retinal nerve fiber layer in early and advance glaucoma using frequency-domain optical coherence tomography[J].Graefe’s Archive for Clinical and Experimental Ophthalmology,2010,248(3):429-434.
[21]SUNG K R,NA J H,LEE Y.Glaucoma diagnostic capabilities of optic nerve head parameters as determined by Cirrus HD optical coherence tomography[J].Journal of Glaucoma,2012,21(7):498-504.
[2]DREXLER W,FUJIMOTO J G.Optical coherence tomography:Technology and applications[M].Berlin:Springer,2015.
[3]GARAS A,VARGHA P,HOLLO G.Diagnostic accuracy of nerve fibre layer,macular thickness and optic disc measurements made with the RTVue-100 optical coherence tomograph to detect glaucoma[J].Eye,2011,25(1):57-65.
[4]MWANZA J C,OAKLEY J D,BUDENZ D L,ANDERSOND R.Ability of cirrus HD-OCT optic nerve head parameters to discriminate normal from glaucomatous eyes[J].Ophthalmology,2011,118(2):241-248.
[5]SCHMITT J M,XIANG S H,YUNG K M.Speckle in optical coherence tomography[J].Journal of Biomedical Optics,1999,4(1):95-106.
[6]CURATOLO A,KENNEDY B F,SAMPSON D D,HILLMAN T R.Speckle in optical coherence tomography[M].London:Taylor&Francis,2013.
[7]ISHIKAWA H,STEIN D M,WOLLSTEIN G,BEATON S,FUJIMOTO J G,SCHUMAN J S.Macular segmentation with optical coherence tomography[J].Investigative Ophthalmology&Visual science,2005,46(6):2012-2017.
[8]AHLERS C,SIMADER C,GEITZENAUER W,STOCK G,STETSON P,DASTMALCHI S,SCHMIDT-ERFURTH U.Automatic segmentation in three-dimensional analysis of fibrovascular pigmentepithelial detachment using highdefinition optical coherence tomography[J].British Journal of Ophthalmology,2008,92(2):197-203.
[9]LU Shi-jian,CHEUNG C Y,LIU Jiang,LIM J H,WONG TY.Automated layer segmentation of optical coherence tomography images[J].IEEE Transactions on Biomedical Engineering,2010,57(10):2605-2608.
[10]ZHU Hao-gang,CRABB D P,SCHLOTTMANN P G,HO T,GARWAY-HEATH D F.Floating Canvas:Quantification of3D retinal structures from spectral-domain optical coherence tomo-graphy[J].Optics Express,2010,18(24):24595-24610.
[11]ANTONY B J,ABRàMOFF M D,LEE K,SONKOVA P,GUPTA,P,KWON Y,GARVIN M K.Automated 3Dsegmentation of intraretinal layers from optic nerve head optical coherence tomography images[C]//WEVER J B,MOLTHEN R C.Medical Imaging 2010:Biomedical Applications in Molecular,Structural,and Functional Imaging.California:International Society for Optics and Photonics,2010:76260U.
[12]SHAH A,WANG J K,GARVIN M K,SONKA M,WUXiao-dong.Automated surface segmentation of internal limiting membrane in spectral-domain optical coherence tomography volumes with a deep cup using a 3-D range expansion approach[C]//2014 IEEE 11th International Symposium on Biomedical Imaging(ISBI).IEEE,2014:1405-1408.
[13]LEE K,NIEMEIJER M,GARVIN M K,KWON Y H,SONKA M,ABRAMOFF M D.Segmentation of the optic disc in 3-D OCT scans of the optic nerve head[J].IEEETransactions on Medical Imaging,2010,29(1):159-168.
[14]MIRI M S,ROBLES V A,ABRàMOFF M D,KWON Y H,GARVIN M K.Incorporation of gradient vector flow field in a multimodal graph-theoretic approach for segmenting the internal limiting membrane from glaucomatous optic nerve head-centered SD-OCT volumes[J].Computerized Medical Imaging and Graphics,2017,55:87-94.
[15]BEZDEK J C,EHRLICH R,FULL W.FCM:The fuzzy c-means clustering algorithm[J].Computers&Geosciences,1984,10(2,3):191-203.
[16]CHAN T F,VESE L A.Active contours without edges[J].IEEE Transactions on Image Processing,2001,10(2):266-277.
[17]DABOV K,FOI A,KATKOVNIK V,EGIAZARIAN,K.Image denoising by sparse 3-D transform-domain collaborative filtering[J].IEEE Transactions on Image Processing,2007,16(8):2080-2095.
[18]LIU Qing,ZOU Bei-ji,CHEN Jie,KE Wei,YUE Ke-juan,CHEN Zai-liang,ZHAO Guo-ying.A location-tosegmentation strategy for automatic exudate segmentation in colour retinal fundus images[J].Computerized Medical Imaging and Graphics,2017,55:78-86.
[19]YAO Chang,CHEN Hou-jin.Automated retinal blood vessels segmentation based on simplified PCNN and fast2D-Otsu algorithm[J].Journal of Central South University of Technology,2009,16(4):640-646.
[20]LI Song-feng,WANG Xiao-zhen,LI Shu-ning,WU Ge-wei,WANG Ning-li.Evaluation of optic nerve head and retinal nerve fiber layer in early and advance glaucoma using frequency-domain optical coherence tomography[J].Graefe’s Archive for Clinical and Experimental Ophthalmology,2010,248(3):429-434.
[21]SUNG K R,NA J H,LEE Y.Glaucoma diagnostic capabilities of optic nerve head parameters as determined by Cirrus HD optical coherence tomography[J].Journal of Glaucoma,2012,21(7):498-504.