计算机科学 ›› 2015, Vol. 42 ›› Issue (9): 272-277.doi: 10.11896/j.issn.1002-137X.2015.09.053
牛四杰,陈强,陆圣陶,沈宏烈
NIU Si-jie, CHEN Qiang, LU Sheng-tao and SHEN Hong-lie
摘要: 频谱域光学相干层析技术(SD-OCT)是一种广泛应用于眼科领域的成像技术,视网膜组织层分割对视网膜疾病诊断起着至关重要的作用。传统的三维图搜索方法能够同时分割k(k≥1)个三维面,但其存在时间复杂度高、分割病变图像鲁棒性弱等问题。在传统三维图搜索模型的基础上引入多尺度思想,提出应用多尺度三维图搜索的SD-OCT视网膜图像分割方法。首先根据每个组织层的特点,为每层构造一个合理的顶点权重;然后利用相邻列的最大与最小高度差构造列约束限制,改进表面的平滑约束条件;最后利用低尺度的图像,应用三维图搜索方法进行粗分割,逐步向高一尺度应用三维图搜索方法进行单表面细分割。使用改进算法对3组正常眼睛及1组老年黄斑变性视网膜图像进行分割,并将结果与手动分割及传统三维图搜索方法进行比较,实验结果表明,改进算法能够准确有效地分割出3个层边界(边界位置绝对误差是3.86±2.50μm),并且接近于手动分割结果(3.78±2.76μm),优于传统三维图搜索方法(7.92±3.31μm)。
[1] Wojtkowski M,Bajraszewski T,Targowski P,et al.Real time in vivo imaging by high-speed spectral optical coherence tomography [J].Optics Letters,2003,28(19):1745-1747 [2] Ishikawa H,Stein D M,Wollstein G,et al.Macular Segmentation with Optical Coherence Tomography [J].Invest.Ophthalmic Visual Science,2005,46(6):2012-2017 [3] Chen Q,Leng T,Zheng L,et al.Automated drusen segmentation and quantification in SD-OCT images [J].Medical Image Analysis,2013,17(8):1058-1072 [4] 樊鲁杰,孙延奎,张田,等.光学相干层析视网膜体数据的3维分割[J].中国图象图形学报,2013,18(3):330-335 Fan Lu-jie,Sun Yan-kui,Zhang Tian,et al.Three dimensional segmentation to deteet retial boandary surfaces from OCT vo-lume data[J].Journal of Image and Graphics,2013,8(3):330-335 [5] 高用贺,李跃杰,王立伟,等.光学相干层析成像的视网膜层状结构自动分割[J].中国医疗器械杂志,2014,38(2):94-101 Gao Yong-he,Li Yue-jie,Wang Li-wei,et al.Automated Segmentation of Retinal Layer Structures on Optical Coherence Tomography[J].Chinese Journal of Medical Instrumentation,2014,38(2):94-101 [6] Yazdanpanah A,Hamarneh G,Smith B R,et al.Segmentation of intra-retinal layers from optical coherence tomography images using an active contour approach [J].IEEE Trans.Medical Imaging,2011,30(2):484-496 [7] Vermeer K A,van der Schoot J,Lemij H G,et al.Automatedsegmentation by pixel classification of retinal layers in ophthalmic OCT images [J].Biomedical Opticas Express,2011,2(6):1743-1756 [8] Lang A,Carass A,Hauser M,et al.Retinal layer segmentation of macular OCT images using boundary classification [J].Biomedical Optics Express,2013,4(7):1133-1152 [9] Cha Y-M,Han J-H.High-Accuracy retinal layer segmentationfor optical coherence tomography using tracking kernels based on Gaussian mixture model [J].IEEE Journal of Selected Topics in Quantum electronics,2013,20(2) [10] Kafieh R,Rabbani H,Abramoff M D,et al.Intra-retinal layersegmentation of 3D optical coherence tomography using coarse grained diffusion map [J].Medical Image Analysis,2013,17(8):907-928 [11] Wu X D,Chen D Z.Optimal Net Surface Problems with Applications [C]∥Proceedings of the 29th Int’l Colloquium Automata,Languages and Programming (ICALP).Berlin Heidelberg,German:Springer-Verlag,2002:1029-1042 [12] Chiu S J,Li X T,Nicholas P,et al.Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation [J].Optics Express,2010,18(18):19413-19428 [13] Chiu S J,Izatt J A,O’Connel R V,et al.Validated Automatic Segmentation of AMD Pathology including Drusen and Geographic Atrophy in SDOCT Image [J].Investigative ophthalmology & visual science,2012,53(1):53-61 [14] Abràmoff M D,Lee K,Niemeijer M,et al.Automated segmentation of the cup and rim from spectral domain OCT of the optic nerve head [J].Investigative Ophthalmology & Visual Science,2009,50:5778-5784 [15] Lee K,Niemeijer M,Garvin M K,et al.Segmentation of the optic disc in 3-D OCT scans of the optic nerve head [J].IEEE Transactions on Medical Imaging,2010,29(1):159-168 [16] Quellec G,Lee K,Dolejsi M,et al.Three-dimensional analysis of retinal layer texture:identification of fluid-filled regions in SD-OCT of the macula [J].IEEE Transactions on Medical Imaging,2010,29(6),1321-1330 [17] Haeker M,Abràmoff M D,Wu X,et al.Use of varying constraints in optimal 3-D graph search for segmentation of macular optical coherence tomography images [C]∥Medical Image Computing and Computer Assisted Intervention.2007:244-251 [18] Garvin M K,Abràmoff M D,Wu X,et al.Automated 3-D intra-retinal layer segmentation of macular spectral-domain optical coherence tomography images [J].IEEE Transactions on Medical Imaging,2009,28(9):1436-1447 [19] Dufour P A,Ceklic L,Abdillahi H,et al.Graph-Based Multi-Surface Segmentation of OCT Data Using Trained Hard and Soft Constraints [J].IEEE Transactions on Medical Imaging,2013,32(3):531-543 [20] Song Qi,Bai Jun-jie,Garvin M K,et al.Optimal multiple Surface Segmentation with Shape and Context Priors [J].IEEE Transactions on Medical Imaging,2013,32(2):376-386 [21] Gtzinger E,Pircher M,Geitzenauer W,et al.Retinal pigmentepithelium segmentation by polarization sensitive optical cohe-rence tomography [J].Opt Express,2008,16(21):16410-16422 [22] Tomasi C,Manduchi R.Bilateral filtering for gray and color images[C]∥Proceedings of the 1998 IEEE International Confe-rence on Computer Vision.Bombay,India,1998:839-846 |
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