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使用高光谱成像绘制皮肤组织氧浓度的算法。

Algorithm for mapping cutaneous tissue oxygen concentration using hyperspectral imaging.

作者信息

Miclos Sorin, Parasca Sorin Viorel, Calin Mihaela Antonina, Savastru Dan, Manea Dragos

机构信息

National Institute of Research and Development for Optoelectronics - INOE 2000, Magurele, Ilfov county, RO-077125, Romania.

Carol Davila University of Medicine and Pharmacy Bucharest, Romania.

出版信息

Biomed Opt Express. 2015 Aug 18;6(9):3420-30. doi: 10.1364/BOE.6.003420. eCollection 2015 Sep 1.

DOI:10.1364/BOE.6.003420
PMID:26417511
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4574667/
Abstract

The measurement of tissue oxygenation plays an important role in the diagnosis and therapeutic assessment of a large variety of diseases. Many different methods have been developed and are currently applied in clinical practice for the measurement of tissue oxygenation. Unfortunately, each of these methods has its own limitations. In this paper we proposed the use of hyperspectral imaging as new method for the assessment of the tissue oxygenation level. To extract this information from hyperspectral images a new algorithm for mapping cutaneous tissue oxygen concentration was developed. This algorithm takes into account and solves some problems related to setting and calculation of some parameters derived from hyperspectral images. The algorithm was tested with good results on synthetic images and then validated on the fingers of a hand with different blood irrigation states. The results obtained have proved the ability of hyperspectral imaging together with the developed algorithm to map the oxy- and deoxyhemoglobin distribution on the analyzed fingers. These are only preliminary results and other studies should be done before this approach to be used in the clinical setting for the diagnosis and monitoring of various diseases.

摘要

组织氧合测量在多种疾病的诊断和治疗评估中起着重要作用。目前已开发出许多不同的方法并应用于临床实践中进行组织氧合测量。不幸的是,这些方法中的每一种都有其自身的局限性。在本文中,我们提出使用高光谱成像作为评估组织氧合水平的新方法。为了从高光谱图像中提取此信息,开发了一种用于绘制皮肤组织氧浓度的新算法。该算法考虑并解决了与从高光谱图像导出的一些参数的设置和计算相关的一些问题。该算法在合成图像上进行了测试,结果良好,然后在具有不同血液灌注状态的手部手指上进行了验证。获得的结果证明了高光谱成像与所开发算法一起能够绘制被分析手指上的氧合血红蛋白和脱氧血红蛋白分布。这些只是初步结果,在将这种方法用于临床诊断和监测各种疾病之前,还应进行其他研究。

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Tissue oxygen saturation mapping with magnetic resonance imaging.利用磁共振成像进行组织氧饱和度映射
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Medical hyperspectral imaging: a review.医学高光谱成像:综述
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Tissue oximetry: a comparison of mean values of regional tissue saturation, reproducibility and dynamic range of four NIRS-instruments on the human forearm.组织血氧测定法:四种近红外光谱仪在人体前臂上的局部组织饱和度平均值、再现性和动态范围的比较。
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