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优化深度分辨估计测量光学相干断层扫描的光衰减系数及其在脑损伤测定中的应用。

Optimized depth-resolved estimation to measure optical attenuation coefficients from optical coherence tomography and its application in cerebral damage determination.

机构信息

Northeastern Univ. at Qinhuangdao, China.

Northeastern Univ., China.

出版信息

J Biomed Opt. 2019 Mar;24(3):1-11. doi: 10.1117/1.JBO.24.3.035002.

DOI:10.1117/1.JBO.24.3.035002
PMID:30834722
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6975193/
Abstract

The optical attenuation coefficient (OAC) reflects the optical properties of various tissues or tissues of the same type under different physiological conditions. Quantitative measurement of OAC from optical coherence tomography (OCT) signals can provide additional information and can increase the potential for OCT applications. We present an optimized depth-resolved estimation (ODRE) method that derives a precise mapping between the measured OCT signal and the OAC. In contrast to previous depth-resolved estimation (DRE) methods, the optimized method can estimate the OAC in any depth range and ignore whether the light is completely attenuated. Numerical simulations and phantom experiments are used to verify its validity, and this method is applied to detect cerebral damage. In combination with OCT angiography, real-time observation of the change of blood perfusion and the degree of cerebral damage in mice with focal cerebral ischemia provides important information to help us understand the temporal relationship between brain damage and ischemia.

摘要

光衰减系数(OAC)反映了不同生理条件下各种组织或同一类型组织的光学特性。从光相干断层扫描(OCT)信号中定量测量 OAC 可以提供额外的信息,并增加 OCT 应用的潜力。我们提出了一种优化的深度分辨估计(ODRE)方法,该方法可以在测量的 OCT 信号和 OAC 之间建立精确的映射。与之前的深度分辨估计(DRE)方法不同,优化后的方法可以在任何深度范围内估计 OAC,并且无需考虑光是否完全衰减。数值模拟和体模实验验证了其有效性,并将该方法应用于检测脑损伤。与 OCT 血管造影相结合,实时观察局灶性脑缺血小鼠的血流灌注变化和脑损伤程度,为我们了解脑损伤与缺血之间的时间关系提供了重要信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/ebd34d01ff03/JBO-024-035002-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/6336afe66063/JBO-024-035002-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/958313474375/JBO-024-035002-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/d856a4b90731/JBO-024-035002-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/fee19fd0a2fe/JBO-024-035002-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/ebd34d01ff03/JBO-024-035002-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/6336afe66063/JBO-024-035002-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/a01490871c0b/JBO-024-035002-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/3f897e619593/JBO-024-035002-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/bc9ee84b14b7/JBO-024-035002-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/018d40c8bd7e/JBO-024-035002-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/958313474375/JBO-024-035002-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/f623f8ef0083/JBO-024-035002-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/d856a4b90731/JBO-024-035002-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6567/6975193/fee19fd0a2fe/JBO-024-035002-g009.jpg
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