Automated registration and enhanced processing of clinical optical coherence tomography angiography
Automated registration and enhanced processing of clinical optical coherence tomography angiography
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DOI：
10.21037/qims.2016.07.02
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发表时间：
2016-08-01
影响因子：
2.8
通讯作者：
Jia, Yali
中科院分区：
文献类型：
--
作者：
Camino, Acner;Zhang, Miao;Jia, Yali
背景：运动伪影降低了光学相干断层扫描血管造影（OCTA）的质量。正交配准可以消除这些伪影中的大部分，但是一些伪影在大多数临床图像中持续存在。我们评估了一种具有选择性合并和过滤的自动配准算法，以去除剩余伪影并提高图像质量。方法：使用70 kHz商用谱域OCT对10名健康人、5名年龄相关性黄斑变性（AMD）患者和31名糖尿病视网膜病变（DR）参与者进行3 mm x 3 mm OCTA。去除投影伪影，将图像分割成3个视网膜内丛。幅度阈值识别包含残余伪影的线和识别失真条纹的相邻线之间的相关性。然后，血管造影片配准和线选择性地合并。将血管性滤波器应用于所得图像。结果：配准和选择性合并（RSM）算法提高了图像的信噪比（P
Background: Motion artifacts degrade the quality of optical coherence tomography angiography (OCTA). Orthogonal registration can eliminate the majority of these artifacts, but some artifacts persist in most clinical images. We evaluate an automated registration algorithm with selective merging and filtering to remove remaining artifacts and improve the quality of images.Methods: A 70 kHz commercial spectral domain OCT was used to obtain 3 mm x 3 mm OCTA in 10 healthy, 5 age-related macular degeneration (AMD), and 31 diabetic retinopathy (DR) participants. Projection artifacts were removed and images were segmented into 3 inner retinal plexuses. Amplitude thresholding identified lines containing a residual artifact and correlation between neighboring lines identified distorted stripes. Then the angiograms were registered and the lines selectively merged. A vesselness filter was applied to the resulting images. The images were evaluated for signal-to-noise ratio (SNR), image entropy, vessel connectivity and vessel density.Results: Registration and selective merging (RSM) algorithm improved the SNR (P