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用于通过双波长光声技术评估血液血细胞比容和氧合作用的数值及体外实验研究。

Numerical and in vitro experimental studies for assessing the blood hematocrit and oxygenation with the dual-wavelength photoacoustics.

作者信息

Paul Subhadip, Patel Hari Shankar, Misra Vatsala, Rani Ravi, Sahoo Amaresh K, Saha Ratan K

机构信息

Department of Applied Sciences, Indian Institute of Information Technology Allahabad, Jhalwa, Prayagraj, 211015, U.P., India.

Laser Biomedical Applications Division, Raja Ramanna Centre for Advanced Technology, Indore, 452013, M.P., India.

出版信息

Photoacoustics. 2024 Aug 30;39:100642. doi: 10.1016/j.pacs.2024.100642. eCollection 2024 Oct.

DOI:10.1016/j.pacs.2024.100642
PMID:39676907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11639327/
Abstract

Assessing the blood hematocrit (Hct) and oxygenation (SO ) levels are essential for diagnosing numerous blood-related diseases. This study examines the ability of the photoacoustic (PA) technique for quantitative evaluation of these parameters. We conducted the Monte Carlo and k-Wave simulations to compute PA signals at four different optical wavelengths from test blood samples followed by rigorous in vitro experiments. This method can estimate the Hct and SO levels faithfully with 95% and 93% accuracies, respectively in the physiologically relevant hematocrits utilizing PA signals generated at 700 and 1000 nm optical wavelengths. A 2% decrease in the scattering anisotropy factor demotes SO estimation by 27%. This study provides sufficient insight into how the opto-chemical parameters of blood impact PA emission and may help to develop a PA setup for in vitro characterization of human blood.

摘要

评估血细胞比容（Hct）和氧合（SO ）水平对于诊断多种血液相关疾病至关重要。本研究考察了光声（PA）技术对这些参数进行定量评估的能力。我们进行了蒙特卡罗和k波模拟，以计算来自测试血样的四种不同光学波长下的光声信号，随后进行了严格的体外实验。该方法在利用700和1000 nm光学波长产生的光声信号的生理相关血细胞比容中，分别能以95%和93%的准确率准确估计Hct和SO 水平。散射各向异性因子降低2%会使SO 估计值下降27%。本研究为血液的光化学参数如何影响光声发射提供了充分的见解，并可能有助于开发用于人体血液体外表征的光声装置。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/6b2e7631ed6f/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/1f6bf3956741/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/70d90e845376/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/3a5e22c9ff77/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/b2a179e14fc1/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/45281df4def3/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/fe614848f01f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/9807ef02ff6a/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/cbcdfe9ffeff/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/993175bf885a/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/5e54016bc54a/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/83d696112013/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/6b2e7631ed6f/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/1f6bf3956741/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/70d90e845376/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/3a5e22c9ff77/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/b2a179e14fc1/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/45281df4def3/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/fe614848f01f/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/9807ef02ff6a/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/cbcdfe9ffeff/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/993175bf885a/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/5e54016bc54a/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/83d696112013/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbde/11639327/6b2e7631ed6f/gr12.jpg

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