Automated choroidal neovascularization detection algorithm for optical coherence tomography angiography
Automated choroidal neovascularization detection algorithm for optical coherence tomography angiography
复制标题
用于光学相干断层扫描血管造影的自动脉络膜新生血管检测算法
DOI：
10.1364/boe.6.003564
复制
发表时间：
2015-09-01
影响因子：
3.4
通讯作者：
Jia, Yali
中科院分区：
文献类型：
--
作者：
Liu, Li;Gao, Simon S.;Jia, Yali
光学相干断层血管造影最近被用于观察年龄相关性黄斑变性患者的脉络膜新生血管（CNV）。CNV区鉴定和定量是临床疾病评估的重要依据。本文提出了一种自动检测CNV区域的算法。它依赖于去噪和显著性检测模型来克服投影伪影和CNV的异质性等问题。对7名参与者的扫描进行定性和定量评估。该算法与人工圈定CNV区域的结果吻合较好。(C)2015美国光学学会
Optical coherence tomography angiography has recently been used to visualize choroidal neovascularization (CNV) in participants with age-related macular degeneration. Identification and quantification of CNV area is important clinically for disease assessment. An automated algorithm for CNV area detection is presented in this article. It relies on denoising and a saliency detection model to overcome issues such as projection artifacts and the heterogeneity of CNV. Qualitative and quantitative evaluations were performed on scans of 7 participants. Results from the algorithm agreed well with manual delineation of CNV area. (C)2015 Optical Society of America