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光学相干断层扫描衰减参数成像:模型、方法及临床转化综述。

Parametric imaging of attenuation by optical coherence tomography: review of models, methods, and clinical translation.

机构信息

The Univ. of Western Australia, Australia.

Amsterdam UMC, Univ. of Amsterdam, Netherlands.

出版信息

J Biomed Opt. 2020 Apr;25(4):1-34. doi: 10.1117/1.JBO.25.4.040901.

Abstract

SIGNIFICANCE

Optical coherence tomography (OCT) provides cross-sectional and volumetric images of backscattering from biological tissue that reveal the tissue morphology. The strength of the scattering, characterized by an attenuation coefficient, represents an alternative and complementary tissue optical property, which can be characterized by parametric imaging of the OCT attenuation coefficient. Over the last 15 years, a multitude of studies have been reported seeking to advance methods to determine the OCT attenuation coefficient and developing them toward clinical applications.

AIM

Our review provides an overview of the main models and methods, their assumptions and applicability, together with a survey of preclinical and clinical demonstrations and their translation potential.

RESULTS

The use of the attenuation coefficient, particularly when presented in the form of parametric en face images, is shown to be applicable in various medical fields. Most studies show the promise of the OCT attenuation coefficient in differentiating between tissues of clinical interest but vary widely in approach.

CONCLUSIONS

As a future step, a consensus on the model and method used for the determination of the attenuation coefficient is an important precursor to large-scale studies. With our review, we hope to provide a basis for discussion toward establishing this consensus.

摘要

意义

光学相干断层扫描(OCT)提供了生物组织背向散射的横截面和体积图像,揭示了组织形态。散射强度由衰减系数来表征,代表了组织的另一种替代和补充光学特性,可以通过 OCT 衰减系数的参数成像来描述。在过去的 15 年中,已经有大量的研究报告试图推进确定 OCT 衰减系数的方法,并将其开发应用于临床。

目的

我们的综述概述了主要的模型和方法、它们的假设和适用性,以及对临床前和临床演示的调查及其转化潜力。

结果

衰减系数的使用,特别是以参数式面内图像的形式呈现,已被证明在各种医学领域具有适用性。大多数研究表明 OCT 衰减系数在区分临床相关组织方面具有很大的潜力,但在方法上差异很大。

结论

作为未来的一步,对于确定衰减系数所使用的模型和方法达成共识是进行大规模研究的重要前提。通过我们的综述,我们希望为建立这种共识提供讨论的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b293/7118361/9b12089c9cef/JBO-025-040901-g001.jpg

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