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三维光学相干断层成像:优势与进展。

Three dimensional optical coherence tomography imaging: advantages and advances.

机构信息

Department of Ophthalmology, UPMC Eye Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.

出版信息

Prog Retin Eye Res. 2010 Nov;29(6):556-79. doi: 10.1016/j.preteyeres.2010.05.005. Epub 2010 Jun 11.

Abstract

Three dimensional (3D) ophthalmic imaging using optical coherence tomography (OCT) has revolutionized assessment of the eye, the retina in particular. Recent technological improvements have made the acquisition of 3D-OCT datasets feasible. However, while volumetric data can improve disease diagnosis and follow-up, novel image analysis techniques are now necessary in order to process the dense 3D-OCT dataset. Fundamental software improvements include methods for correcting subject eye motion, segmenting structures or volumes of interest, extracting relevant data post hoc and signal averaging to improve delineation of retinal layers. In addition, innovative methods for image display, such as C-mode sectioning, provide a unique viewing perspective and may improve interpretation of OCT images of pathologic structures. While all of these methods are being developed, most remain in an immature state. This review describes the current status of 3D-OCT scanning and interpretation, and discusses the need for standardization of clinical protocols as well as the potential benefits of 3D-OCT scanning that could come when software methods for fully exploiting these rich datasets are available clinically. The implications of new image analysis approaches include improved reproducibility of measurements garnered from 3D-OCT, which may then help improve disease discrimination and progression detection. In addition, 3D-OCT offers the potential for preoperative surgical planning and intraoperative surgical guidance.

摘要

三维(3D)眼科光学相干断层扫描(OCT)成像技术革新了眼部评估,特别是对视网膜的评估。最近的技术进步使得获取 3D-OCT 数据集成为可能。然而,虽然体积数据可以改善疾病的诊断和随访,但现在需要新的图像分析技术来处理密集的 3D-OCT 数据集。基本的软件改进包括用于校正受检眼运动、分割感兴趣的结构或体积、提取相关数据后处理和信号平均以改善视网膜层的描绘的方法。此外,用于图像显示的创新方法,如 C 模式切片,提供了独特的观察视角,并且可能改善对病理性结构的 OCT 图像的解释。虽然所有这些方法都在开发中,但大多数仍处于不成熟的状态。本文综述了 3D-OCT 扫描和解释的现状,并讨论了标准化临床方案的必要性以及当可用于充分利用这些丰富数据集的软件方法在临床上可用时,3D-OCT 扫描可能带来的潜在益处。新的图像分析方法的影响包括提高了从 3D-OCT 获得的测量值的可重复性,这可能有助于改善疾病的区分和进展检测。此外,3D-OCT 为术前手术计划和术中手术指导提供了潜力。

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