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宽视野拼接图像中的光学相干断层扫描血管造影失真校正

Optical coherence tomography angiography distortion correction in widefield montage images.

作者信息

Mehta Nihaal, Cheng Yuxuan, Alibhai A Yasin, Duker Jay S, Wang Ruikang K, Waheed Nadia K

机构信息

New England Eye Center, Tufts Medical Center, Boston, MA, USA.

Department of Ophthalmology, University of Colorado, Denver, CO, USA.

出版信息

Quant Imaging Med Surg. 2021 Mar;11(3):928-938. doi: 10.21037/qims-20-791.

Abstract

BACKGROUND

Optical coherence tomography (OCT) imaging is inherently susceptible to distortion artifacts due to the natural curvature of the eye. This study proposes a novel model for widefield OCT angiography (OCTA) distortion correction and analyzes the effects of this correction on quantification metrics.

METHODS

Widefield OCTA images were obtained on normal subjects at five fixation spatial positions. Radial and field distortion correction were applied and images stitched together to form a corrected widefield montage image. Vessel area density (VAD), vessel complexity index (VCI), and flow impairment area were quantified on the original and corrected montage images.

RESULTS

This model allows for distortion correction and montaging of widefield images. There were either statistically insignificant or small magnitude changes in vessel density and vessel complexity between uncorrected and corrected widefield images. There was a significant and large difference in flow impairment area, both in the macular (+8.2%, P=0.049) and peripheral areas (+17.2%, P=0.011), following correction. The relationship between pre- and post-correction flow impairment area was non-linear.

CONCLUSIONS

Distortion correction of widefield OCTA images can result in clinically and statistically significant differences in important quantification metrics. This effect appears to be most pronounced in the periphery.

摘要

背景

由于眼睛的自然曲率,光学相干断层扫描(OCT)成像本质上容易受到失真伪影的影响。本研究提出了一种用于宽场光学相干断层扫描血管造影(OCTA)失真校正的新模型,并分析了这种校正对量化指标的影响。

方法

在正常受试者的五个注视空间位置获取宽场OCTA图像。应用径向和场失真校正,并将图像拼接在一起以形成校正后的宽场蒙太奇图像。在原始和校正后的蒙太奇图像上量化血管面积密度(VAD)、血管复杂性指数(VCI)和血流受损面积。

结果

该模型允许对宽场图像进行失真校正和拼接。未校正和校正后的宽场图像之间的血管密度和血管复杂性变化在统计学上无显著差异或变化幅度较小。校正后,黄斑区(+8.2%,P=0.049)和周边区(+17.2%,P=0.011)的血流受损面积均存在显著且较大的差异。校正前后血流受损面积之间的关系是非线性的。

结论

宽场OCTA图像的失真校正可导致重要量化指标在临床和统计学上出现显著差异。这种效应在周边区域似乎最为明显。

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