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双层血脂体模以及利用扩散时间飞行矩变化来确定吸收和氧合的方法。

Two-layered blood-lipid phantom and method to determine absorption and oxygenation employing changes in moments of DTOFs.

作者信息

Sudakou Aleh, Wabnitz Heidrun, Liemert André, Wolf Martin, Liebert Adam

机构信息

Nałęcz Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences, Warsaw, Poland.

Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany.

出版信息

Biomed Opt Express. 2023 Jun 21;14(7):3506-3531. doi: 10.1364/BOE.492168. eCollection 2023 Jul 1.

Abstract

Near-infrared spectroscopy (NIRS) is an established technique for measuring tissue oxygen saturation (StO), which is of high clinical value. For tissues that have layered structures, it is challenging but clinically relevant to obtain StO of the different layers, e.g. brain and scalp. For this aim, we present a new method of data analysis for time-domain NIRS (TD-NIRS) and a new two-layered blood-lipid phantom. The new analysis method enables accurate determination of even large changes of the absorption coefficient (Δ) in multiple layers. By adding Δ to the baseline , this method provides absolute and hence StO in multiple layers. The method utilizes (i) changes in statistical moments of the distributions of times of flight of photons (DTOFs), (ii) an analytical solution of the diffusion equation for an N-layered medium, (iii) and the Levenberg-Marquardt algorithm (LMA) to determine Δ in multiple layers from the changes in moments. The method is suitable for NIRS tissue oximetry (relying on ) as well as functional NIRS (fNIRS) applications (relying on Δ). Experiments were conducted on a new phantom, which enabled us to simulate dynamic StO changes in two layers for the first time. Two separate compartments, which mimic superficial and deep layers, hold blood-lipid mixtures that can be deoxygenated (using yeast) and oxygenated (by bubbling oxygen) independently. Simultaneous NIRS measurements can be performed on the two-layered medium (variable superficial layer thickness, ), the deep (homogeneous), and/or the superficial (homogeneous). In two experiments involving ink, we increased the nominal in one of two compartments from 0.05 to 0.25 cm, set to 14.5 mm. In three experiments involving blood ( set to 12, 15, or 17 mm), we used a protocol consisting of six deoxygenation cycles. A state-of-the-art multi-wavelength TD-NIRS system measured simultaneously on the two-layered medium, as well as on the deep compartment for a reference. The new method accurately determined (and hence StO) in both compartments. The method is a significant progress in overcoming the contamination from the superficial layer, which is beneficial for NIRS and fNIRS applications, and may improve the determination of StO in the brain from measurements on the head. The advanced phantom may assist in the ongoing effort towards more realistic standardized performance tests in NIRS tissue oximetry. Data and MATLAB codes used in this study were made publicly available.

摘要

近红外光谱(NIRS)是一种用于测量组织氧饱和度(StO)的成熟技术,具有很高的临床价值。对于具有分层结构的组织,例如大脑和头皮,获取不同层的StO具有挑战性,但在临床上具有重要意义。为此,我们提出了一种用于时域近红外光谱(TD-NIRS)的新数据分析方法以及一种新的双层血脂模型。这种新的分析方法能够准确测定多层中吸收系数(Δ)的甚至很大的变化。通过将Δ添加到基线中,该方法可提供多层中的绝对吸收系数,从而得出StO。该方法利用(i)光子飞行时间(DTOF)分布的统计矩变化,(ii)N层介质扩散方程的解析解,以及(iii(iii)Levenberg-Marquardt算法(LMA),根据矩的变化来确定多层中的Δ。该方法适用于NIRS组织血氧测定法(依赖于吸收系数)以及功能性近红外光谱(fNIRS)应用(依赖于Δ)。在一个新的模型上进行了实验,这使我们首次能够模拟两层中的动态StO变化。两个独立的隔室模拟表层和深层,装有可独立进行脱氧(使用酵母)和充氧(通过鼓泡氧气)的血脂混合物。可以对双层介质(可变表层厚度)、深层(均匀)和/或表层(均匀)进行同步NIRS测量。在两个涉及墨水的实验中,我们将两个隔室之一中的标称光程从0.05厘米增加到0.25厘米,光程设置为14.5毫米。在三个涉及血液的实验中(光程设置为12、15或17毫米),我们使用了由六个脱氧循环组成的方案。一个先进的多波长TD-NIRS系统同时在双层介质以及深层隔室上进行测量作为参考。新方法准确地确定了两个隔室中的吸收系数(从而得出StO)。该方法在克服表层污染方面取得了重大进展,这对NIRS和fNIRS应用有益,并且可能改善通过头部测量来确定大脑中的StO。先进的模型可能有助于在NIRS组织血氧测定法中朝着更现实的标准化性能测试不断努力。本研究中使用的数据和MATLAB代码已公开提供。

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