基于三维限制区域生长的SD-OCT中浆NRD病变区域分割  

SD-OCT CSC NRD Region Segmentation Based on Region Restricted 3D Region Growing

作　　者：何晓俊 吴梦麟[2] 范雯 袁松涛 陈强[1,4] HE Xiao- jun1,WU Meng- lin2 ,FAN Wen ,YUAN Song- tao ,CHEN Qiang(1School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094 ,China;2College of Electronics and Information Engineering, Nanjing University of Technology, Nanjing 211816, China;3Dartment of Ophthalmology,The First Affiliated Hospital with Nanjing Medical University, Nanjing 210029,China;4Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University,Fuzhou 350121, Chin)

机构地区：[1]南京理工大学计算机科学与工程学院,南京210094 [2]南京工业大学电子与信息工程学院,南京211816 [3]南京医科大学第一附属医院江苏省人民医院眼科,南京210029 [4]闽江学院福建省信息处理与智能控制重点实验室,福州350121

出　　处：《计算机科学》2018年第B06期187-192,219,共7页Computer Science

基　　金：国家自然科学基金面上项目(61671242);中央高校基本科研业务费专项资金(30920140111004);六大人才高峰(2014-SWYY-024);福建省信息处理与智能控制重点实验室(闽江学院)开放课题基金(MJUKF201706)资助

摘　　要：中浆(CSC)病变区域的大小对于病变的诊断及研究有着关键的作用,而视网膜神经上皮层脱离(NRD)形态在中浆病变中最为普遍且病变程度最为严重,因此快速准确地分割出NRD病变区域十分重要。给出一种全自动的频域光学相干断层(SD-OCT)中浆NRD病变分割方法。首次在三维空间进行NRD病变分割,将二维图像上的病变区域分割问题转化为三维空间的体分割问题,充分利用了数据的三维结构信息,提高了分割精度。18组中浆NRD病变的SD-OCT图像的实验结果表明:该算法能够准确分割出中浆NRD病变,且平均覆盖率高达89.5%。与其他4种分割方法相比,所提方法精度最高且耗时最短,在临床应用与研究中具有极大的优势。It is important to segment neurosensory retianl detachment（NRD）of central serous chorioretinopathy（CSC）region,because the volume of CSC region plays a very important role in the diagnosis and study of CSC,while NRD is the most common and serious situation in CSC.The paper presented an automated spatial-domain optical coherence tomography（SD-OCT）NRD segmentation method,which firstly segments NRD lesion in 3 Dspace.And the segmentation of lesion in two-dimensional images is transformed into three-dimensional space segmentation problem,which makes full use of the three-dimensional structure information of data and improves the segmentation precision.The experiment results with 18 SD-OCT cubes indicate that the proposed method can segment the NRD accurately,and the average area coverage is as high as 89.5%.Compared to other four segmentation methods,the proposed algorithm achieves the highest accuracy and costs the least time,which has great advantages in clinical application and research.

关 键 词：中心性浆液性脉络膜视网膜病变 视网膜神经上皮层分离 频域光学相干层析图像 自适应阈值 三维区域生长 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]