Automatic Three-dimensional Detection of Photoreceptor Ellipsoid Zone Disruption Caused by Trauma in the OCT.
Automatic Three-dimensional Detection of Photoreceptor Ellipsoid Zone Disruption Caused by Trauma in the OCT.
复制标题
OCT中创伤引起的感光椭球区破坏的自动三维检测
DOI：
10.1038/srep25433
复制
发表时间：
2016-05-09
影响因子：
4.6
通讯作者：
Chen X
中科院分区：
文献类型：
--
作者：
Zhu W;Chen H;Zhao H;Tian B;Wang L;Shi F;Xiang D;Luo X;Gao E;Zhang L;Yin Y;Chen X
感光椭圆带（EZ）的完整性的检测和评估是重要的，因为它是至关重要的视力在视网膜创伤和其他疾病。我们已经提出并验证了一个框架，可以自动分析光学相干断层扫描（OCT）图像中的EZ的三维完整性。首先对图像进行滤波，并自动分割成10层，其中EZ位于第7层。对于EZ的每个体素，提取57个特征，并进行主成分分析以优化特征。训练Adaboost分类器以将EZ的每个体素分类为中断或未中断。最后，血管轮廓和孤立点被排除。为了证明其有效性，建议的框架进行了测试，15眼视网膜外伤和15个正常的眼睛。对视网膜外伤眼的敏感性（SEN）为85.69% ± 9.59%，特异性（SPE）为85.91% ± 5.48%，平衡准确率（BAR）为85.80% ± 6.16%。对于正常眼，SPE为99.03% ± 0.73%，SEN和BAR水平不相关。我们的框架有可能成为一个有用的工具，研究视网膜创伤和其他条件，涉及EZ的完整性。
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 7thlayer. 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.