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Liang S, Miyake T, Shimizu K. Optical parameters estimation in inhomogeneous turbid media using backscattered light: for transcutaneous scattering measurement of intravascular blood. BIOMEDICAL OPTICS EXPRESS 2024; 15:237-255. [PMID: 38223194 PMCID: PMC10783902 DOI: 10.1364/boe.510245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/05/2023] [Accepted: 12/05/2023] [Indexed: 01/16/2024]
Abstract
In our earlier research, a technique was developed to estimate the effective attenuation coefficient of subcutaneous blood vessels from the skin surface using the spatial distribution of backscattered near-infrared (NIR) light. The scattering effect in surrounding tissues was suppressed through the application of a differential principle, provided that the in vivo structure is known. In this study, a new method is proposed enabling the separate estimation of both scattering and absorption coefficients using NIR light of different wavelengths. The differential technique is newly innovated to make it applicable to the subcutaneous structure without requiring explicit geometrical information. Suppression of the scattering effect from surrounding tissue can be incorporated into the process of estimating the scattering and absorption coefficients. The validity of the proposed technique can be demonstrated through Monte Carlo simulations using both homogeneous and inhomogeneous tissue-simulating models. The estimated results exhibit good coherence with theoretical values (r2 = 0.988-0.999). Moreover, the vulnerability and robustness of the proposed technique against different measurement errors are verified. Optimal conditions for practical measurement are specified under various light-detection conditions. Separate estimation of scattering and absorption coefficients improves the accuracy of turbidity measurements and spectroscopy in biomedical applications considerably, particularly for noninvasive measurements and analysis of blood, lipids, and other components in subcutaneous blood vessels.
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Affiliation(s)
- Shiyang Liang
- Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, 808-0135, Japan
| | - Takeo Miyake
- Graduate School of Information, Production and Systems, Waseda University, Kitakyushu, 808-0135, Japan
| | - Koichi Shimizu
- School of Optoelectronic Engineering, Xidian University, Xi’an, 710071, China
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Yanina IY, Dyachenko PA, Abdurashitov AS, Shalin AS, Minin IV, Minin OV, Bulygin AD, Vrazhnov DA, Kistenev YV, Tuchin VV. Light distribution in fat cell layers at physiological temperatures. Sci Rep 2023; 13:1073. [PMID: 36658207 PMCID: PMC9852459 DOI: 10.1038/s41598-022-25012-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 11/23/2022] [Indexed: 01/20/2023] Open
Abstract
Adipose tissue (AT) optical properties for physiological temperatures and in vivo conditions are still insufficiently studied. The AT is composed mainly of packed cells close to spherical shape. It is a possible reason that AT demonstrates a very complicated spatial structure of reflected or transmitted light. It was shown with a cellular tissue phantom, is split into a fan of narrow tracks, originating from the insertion point and representing filament-like light distribution. The development of suitable approaches for describing light propagation in a AT is urgently needed. A mathematical model of the propagation of light through the layers of fat cells is proposed. It has been shown that the sharp local focusing of optical radiation (light localized near the shadow surface of the cells) and its cleavage by coupling whispering gallery modes depends on the optical thickness of the cell layer. The optical coherence tomography numerical simulation and experimental studies results demonstrate the importance of sharp local focusing in AT for understanding its optical properties for physiological conditions and at AT heating.
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Affiliation(s)
- Irina Yu Yanina
- Science Medical Center, Saratov State University, 83 Astrakhanskaya Str., Saratov, Russia, 410012. .,Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.
| | - Polina A Dyachenko
- Science Medical Center, Saratov State University, 83 Astrakhanskaya Str., Saratov, Russia, 410012.,Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050
| | - Arkady S Abdurashitov
- Center for Neurobiology and Brain Restoration, Skolkovo Institute of Science and Technology, 3Nobelya Str., Moscow, Russia, 121205
| | - Alexander S Shalin
- Center for Photonics and 2D Materials, Moscow Institute of Physics and Technology, Dolgoprudny, 141700, Russia.,Institute of Telecommunications, Riga Technical University, 12 Azenes str., LV-1658, Riga, Latvia.,Laboratory of Fiber Optics and Optical Measurements UB-1, Kotel'nikov Institute of Radio Engineering and Electronics of Russian Academy of Sciences (Ulyanovsk Branch), 48 Goncharova Str., Ulyanovsk, Russia, 432011
| | - Igor V Minin
- School of Nondestructive Testing, Tomsk Polytechnic University, 30 Lenin Av., Tomsk, Russia, 634050.,Institute for Strategic Studies, Siberian State University of Geosystems and Technologies, 10 Plahotnogo Str., Novosibirsk, Russia, 630108
| | - Oleg V Minin
- School of Nondestructive Testing, Tomsk Polytechnic University, 30 Lenin Av., Tomsk, Russia, 634050.,Institute for Strategic Studies, Siberian State University of Geosystems and Technologies, 10 Plahotnogo Str., Novosibirsk, Russia, 630108
| | - Andrey D Bulygin
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory of Nonlinear Optical Interactions, V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Sciences, 1 Academician Zuev Sq., Tomsk, Russia, 634055
| | - Denis A Vrazhnov
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Sciences, 1 Academician Zuev Sq., Tomsk, Russia, 634055
| | - Yury V Kistenev
- Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory for Remote Sensing of the Environment, V.E. Zuev Institute of Atmospheric Optics of Siberian Branch of the Russian Academy of Sciences, 1 Academician Zuev Sq., Tomsk, Russia, 634055
| | - Valery V Tuchin
- Science Medical Center, Saratov State University, 83 Astrakhanskaya Str., Saratov, Russia, 410012.,Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 36 Lenin's Av., Tomsk, Russia, 634050.,Laboratory of Laser Diagnostics of Technical and Living Systems, Institute of Precision Mechanics and Control, FRC "Saratov Scientific Centre of the Russian Academy of Sciences", 24 Rabochaya Str., Saratov, Russia, 410028.,A.N. Bach Institute of Biochemistry, FRC "Fundamentals of Biotechnology", 33-2, Leninsky Av., Moscow, Russia, 119991
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Guo J, Meng S, Su H, Zhang B, Li T. Non-invasive optical monitoring of human lungs: Monte Carlo modeling of photon migration in Visible Chinese Human and an experimental test on a human. BIOMEDICAL OPTICS EXPRESS 2022; 13:6389-6403. [PMID: 36589576 PMCID: PMC9774858 DOI: 10.1364/boe.472530] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/30/2022] [Accepted: 10/23/2022] [Indexed: 05/02/2023]
Abstract
The human lung was quantified and visualized by photon transport in this paper. A Monte Carlo (MC) simulation of voxelized media was used with the visible Chinese human (VCH). This study theoretically explored the feasibility of non-invasive optical detection of pulmonary hemodynamics, and investigated the optimal location of the light source in the lung photon migration and optimized the source-detector distance. The light fluence intensity showed that the photon penetration depth was 6-8.4 mm in the human lung. The optimal distance from the light source to the detector was 2.7-2.9 cm, but the optimal distance of the superior lobe of right lung was 3.3-3.5 cm. We then conducted experiments on diffuse light reflectance using NIRS on 14 volunteers. These measurements agree well with the simulation results. All the results demonstrated the great potential of non-invasive monitoring of pulmonary hemodynamics and contribute to the study of human lungs in the biomedical optics community.
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Affiliation(s)
- Jianghui Guo
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
- School of optoelectronic science and engineering, University of Electronic Science & Technology of China, Chengdu, 611731, China
| | - Shuo Meng
- Tiangong University, Tianjin, 300387, China
| | - Hengjie Su
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
| | - Bowen Zhang
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
| | - Ting Li
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300192, China
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