Study of the Optical Properties of Biological Tissues Quantitative Assessment Possibility using Spatial-Frequency Domain Imaging

Alexander V. Kolpakov, Yuliya V. Ivanova, Svetlana A. Yushina, Anastasia S. Semenova

2022

Abstract

The paper is devoted to the study of the possibility of using spatial-frequency domain imaging (SFDI) technology in the tasks of visualizing neurovascular structures in the brain tissue during endosurgical intervention, as well as the detection and objective quantitative assessment of lesions in the tissues of the oral cavity. As a result of the initial stage of experimental studies in vivo, it was shown that SFDI allows tracking the dynamics of optical parameters of tissues as a result of changes in blood filling and is potentially applicable for detecting subsurface optical inhomogeneities in tissues.

Download


Paper Citation


in Harvard Style

Kolpakov A., Ivanova Y., Yushina S. and Semenova A. (2022). Study of the Optical Properties of Biological Tissues Quantitative Assessment Possibility using Spatial-Frequency Domain Imaging. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: RMHM, ISBN 978-989-758-552-4, pages 317-321. DOI: 10.5220/0010969300003123


in Bibtex Style

@conference{rmhm22,
author={Alexander Kolpakov and Yuliya Ivanova and Svetlana Yushina and Anastasia Semenova},
title={Study of the Optical Properties of Biological Tissues Quantitative Assessment Possibility using Spatial-Frequency Domain Imaging},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: RMHM,},
year={2022},
pages={317-321},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010969300003123},
isbn={978-989-758-552-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: RMHM,
TI - Study of the Optical Properties of Biological Tissues Quantitative Assessment Possibility using Spatial-Frequency Domain Imaging
SN - 978-989-758-552-4
AU - Kolpakov A.
AU - Ivanova Y.
AU - Yushina S.
AU - Semenova A.
PY - 2022
SP - 317
EP - 321
DO - 10.5220/0010969300003123