TY - GEN
T1 - Attenuation Coefficient of Tissue Based on Modified Depth-Resolved Model
AU - Lin, Huang
AU - Yana, Liu
AU - Xiao, Zhang
AU - Qin, Li
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/8
Y1 - 2021/8/8
N2 - Optical Coherence Tomography (OCT) is currently widely used in the diagnosis of many diseases. The attenuation coefficient of biological tissues is an important parameter that affects the strength of OCT light signals and is also an important parameter to describe tissue characteristics. In this paper, the modified depth-resolved model is used to calculate the tissue attenuation coefficient based on OCT data. The methods of subtracting the noise term and median filtering were used to reduce the influence of noise on the attenuation coefficient estimation result. The estimation result is more accurate by adding a correction term of the confocal function. The result shows that the DR model by subtracting the noise term can characterize the hierarchical structure of the tissue better and make the attenuation coefficient more accurate. So, the description for the characteristics of biological tissues can be better and the foundation for evaluating the characteristics of lesions based on optical parameters can be laid.
AB - Optical Coherence Tomography (OCT) is currently widely used in the diagnosis of many diseases. The attenuation coefficient of biological tissues is an important parameter that affects the strength of OCT light signals and is also an important parameter to describe tissue characteristics. In this paper, the modified depth-resolved model is used to calculate the tissue attenuation coefficient based on OCT data. The methods of subtracting the noise term and median filtering were used to reduce the influence of noise on the attenuation coefficient estimation result. The estimation result is more accurate by adding a correction term of the confocal function. The result shows that the DR model by subtracting the noise term can characterize the hierarchical structure of the tissue better and make the attenuation coefficient more accurate. So, the description for the characteristics of biological tissues can be better and the foundation for evaluating the characteristics of lesions based on optical parameters can be laid.
KW - Attenuation Coefficient
KW - Depth-Resolved Model
KW - Filtering Method
KW - Optical Coherence Tomography
UR - http://www.scopus.com/inward/record.url?scp=85115164140&partnerID=8YFLogxK
U2 - 10.1109/ICMA52036.2021.9512733
DO - 10.1109/ICMA52036.2021.9512733
M3 - Conference contribution
AN - SCOPUS:85115164140
T3 - 2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021
SP - 242
EP - 247
BT - 2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Conference on Mechatronics and Automation, ICMA 2021
Y2 - 8 August 2021 through 11 August 2021
ER -