Optimizing 3D retinal vasculature imaging in diabetic retinopathy using registration and averaging of OCT-A
Optimizing 3D retinal vasculature imaging in diabetic retinopathy using registration and averaging of OCT-A
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DOI：
10.1364/boe.408590
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发表时间：
2021-01-01
影响因子：
3.4
通讯作者：
Ju, Myeong Jin
中科院分区：
文献类型：
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作者：
Athwal, Arman;Balaratnasingam, Chandrakumar;Ju, Myeong Jin
光学相干断层扫描（OCT）和OCT血管造影（OCT- a）数据需要高分辨率的可视化，以充分利用成像方式的三维性质。然而，患者运动引起的伪影往往会降低OCT-A数据质量。对于局灶性视力恶化的患者尤其如此，例如糖尿病视网膜病变（DR）患者。我们提出了一种基于软件的OCT-A运动校正的新方法，该方法通过串行采集、体积配准和平均来实现。通过多步骤3D注册过程去除运动伪影，通过体积平均显着增强可见性。我们证明，这种方法允许视网膜病变及其周围特征的清晰3D可视化，视网膜内毛细血管连接的3D可视化，以及绒毛膜毛细血管层的可靠可视化。(c)根据OSA开放获取出版协议的条款，2020年美国光学学会
High resolution visualization of optical coherence tomography (OCT) and OCT angiography (OCT-A) data is required to fully take advantage of the imaging modality's three-dimensional nature. However, artifacts induced by patient motion often degrade OCT-A data quality. This is especially true for patients with deteriorated focal vision, such as those with diabetic retinopathy (DR). We propose a novel methodology for software-based OCT-A motion correction achieved through serial acquisition, volumetric registration, and averaging. Motion artifacts are removed via a multi-step 3D registration process, and visibility is significantly enhanced through volumetric averaging. We demonstrate that this method permits clear 3D visualization of retinal pathologies and their surrounding features, 3D visualization of inner retinal capillary connections, as well as reliable visualization of the choriocapillaris layer. (c) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement