机构：[1]School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, 215006, China.[2]Joint Shantou International Eye Center, Shantou University and the Chinese University of Hong Kong, Shantou, Guangdong, 515041, China.[3]Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong, Shatin N.T., Hong Kong, 999077, China.[4]Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.首都医科大学附属北京同仁医院首都医科大学附属同仁医院[5]School of Computer Science and Technology, Shandong University, Jinan, Shandong, 250100, China.
Detection and assessment of the integrity of the photoreceptor ellipsoid zone (EZ) are important because it is critical for visual acuity in retina trauma and other diseases. We have proposed and validated a framework that can automatically analyse the 3D integrity of the EZ in optical coherence tomography (OCT) images. The images are first filtered and automatically segmented into 10 layers, of which EZ is located in the 7th layer. For each voxel of the EZ, 57 features are extracted and a principle component analysis is performed to optimize the features. An Adaboost classifier is trained to classify each voxel of the EZ as disrupted or non-disrupted. Finally, blood vessel silhouettes and isolated points are excluded. To demonstrate its effectiveness, the proposed framework was tested on 15 eyes with retinal trauma and 15 normal eyes. For the eyes with retinal trauma, the sensitivity (SEN) was 85.69% +/- 9.59%, the specificity (SPE) was 85.91% +/- 5.48%, and the balanced accuracy rate (BAR) was 85.80% +/- 6.16%. For the normal eyes, the SPE was 99.03% +/- 0.73%, and the SEN and BAR levels were not relevant. Our framework has the potential to become a useful tool for studying retina trauma and other conditions involving EZ integrity.
基金：
National Basic Research Program (973)National Basic Research Program of China; Young Scientist Program Foundation of China [2014CB748600]; National Nature Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81401472, 6140294, 614293, 81371629]; Natural Science Foundation of the Jiangsu Higher Education of China [14KJB510032]; Research Grant from the Joint Shantou International Eye Center; NSFC Joint Fund with Guangdong under Key ProjectNational Science Foundation (NSF) [U1201258]
第一作者机构：[1]School of Electronic and Information Engineering, Soochow University, Suzhou, Jiangsu, 215006, China.
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推荐引用方式(GB/T 7714)：
WeifangZhu,Haoyu Chen,Heming Zhao,et al.Automatic Three-dimensional Detection of Photoreceptor Ellipsoid Zone Disruption Caused by Trauma in the OCT[J].SCIENTIFIC REPORTS.2016,6:doi:10.1038/srep25433.
APA：
WeifangZhu,Haoyu Chen,Heming Zhao,BeiTian,LirongWang...&XinjianChen.(2016).Automatic Three-dimensional Detection of Photoreceptor Ellipsoid Zone Disruption Caused by Trauma in the OCT.SCIENTIFIC REPORTS,6,
MLA：
WeifangZhu,et al."Automatic Three-dimensional Detection of Photoreceptor Ellipsoid Zone Disruption Caused by Trauma in the OCT".SCIENTIFIC REPORTS 6.(2016)
