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统一结构与功能:眼部疾病中黄斑综合评估的多模态方法——使用微视野计和光学相干断层扫描技术

Unifying Structure and Function Towards a Comprehensive Macular Evaluation in Eye Disorders: A Multi-Modal Approach Using Microperimetry and Optical Coherence Tomography.

作者信息

Soans Rijul Saurabh, Smith Benjamin E, Chung Susana T L

出版信息

IEEE Trans Biomed Eng. 2025 May;72(5):1572-1584. doi: 10.1109/TBME.2024.3513234. Epub 2025 Apr 23.

Abstract

OBJECTIVE

We present a new automatic and comprehensive framework to evaluate retinal sub-layer thickness and visual sensitivity at precise retinal locations through multi-modal registration of confocal scanning laser ophthalmoscope (cSLO) images obtained separately from an optical coherence tomography (OCT) device and a microperimeter.

METHODS

We map consecutive B-scans onto the cSLO images after accounting for eye motion. Next, we coarsely register the SLO-microperimetry and cSLO-OCT images using SIFT, followed by precise elastic image registration. Subsequently, we ensure the quality of the co-registered images through single-particle and object tracking of the warped microperimetry test locations. Finally, the retinal thickness is queried from the segmented retinal layers in the co-registered space. A manual mode involving projective transformation accounting for perspective distortions in the images arising from the two modalities is also included.

RESULTS

Validation using retinal images of 8 adults with albinism, 16 adults with amblyopia, 3 adults with macular diseases, and 15 visually healthy adults showed results with excellent reliability.

CONCLUSION

The proposed framework enables the evaluation of retinal thickness by utilizing precise structural and functional relationships of the eye through a self-assessing multi-tiered approach.

SIGNIFICANCE

Our framework lays the foundation towards a comprehensive structure-function assessment of the macular region in various eye disorders.

摘要

目的

我们提出了一种新的自动且全面的框架,通过对分别从光学相干断层扫描(OCT)设备和微视野计获得的共焦扫描激光检眼镜(cSLO)图像进行多模态配准,来评估精确视网膜位置处的视网膜亚层厚度和视觉敏感度。

方法

在考虑眼球运动后,我们将连续的B扫描图像映射到cSLO图像上。接下来,我们使用尺度不变特征变换(SIFT)对SLO - 微视野计图像和cSLO - OCT图像进行粗配准,随后进行精确的弹性图像配准。随后,我们通过对扭曲的微视野计测试位置进行单粒子和目标跟踪来确保配准图像的质量。最后,从配准空间中分割出的视网膜层查询视网膜厚度。还包括一种手动模式,该模式涉及投影变换,以考虑两种模态图像中出现的透视畸变。

结果

使用8名白化病成人、16名弱视成人、3名黄斑疾病成人和15名视力健康成人的视网膜图像进行验证,结果显示具有出色的可靠性。

结论

所提出的框架通过一种自我评估的多层方法,利用眼睛精确的结构和功能关系,实现了对视网膜厚度的评估。

意义

我们的框架为各种眼部疾病中黄斑区域的综合结构 - 功能评估奠定了基础。

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