TY - GEN
T1 - Dispersion Correction for Optical Coherence Tomography by Parameter Estimation in Fractional Fourier Domain
AU - Liu, Di
AU - Xin, Yi
AU - Li, Qin
AU - Tao, Ran
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/8
Y1 - 2019/8
N2 - The fractional Fourier transform (FRFT) illustrates the physics behind chromatic dispersion in Fourier domain Optical Coherence Tomography(FD OCT). However, it fails in compensating the depth-dependent dispersion with high accuracy and speed which is required in some areas, especially in medical diagnosis. This paper presents a new fractional Fourier domain(FRFD) dispersion compensation approach based on Quasi-Newton optimization. The method consists of two searching steps, achieving in a computation reduction with high accuracy guaranteed. As for depth-dependent dispersion, a component-separating method is proposed in order to extract the weak dispersion under the interference of the stronger ones. The performance of the estimate errors is analyzed and compared with the traditional FRFT filtering method in computing simulations. Finally, we present a practical application in compensating the dispersion in Intravascular Optical Coherence Tomography(IVOCT), resolving the obfuscation problems in segmenting the lumen boundaries.
AB - The fractional Fourier transform (FRFT) illustrates the physics behind chromatic dispersion in Fourier domain Optical Coherence Tomography(FD OCT). However, it fails in compensating the depth-dependent dispersion with high accuracy and speed which is required in some areas, especially in medical diagnosis. This paper presents a new fractional Fourier domain(FRFD) dispersion compensation approach based on Quasi-Newton optimization. The method consists of two searching steps, achieving in a computation reduction with high accuracy guaranteed. As for depth-dependent dispersion, a component-separating method is proposed in order to extract the weak dispersion under the interference of the stronger ones. The performance of the estimate errors is analyzed and compared with the traditional FRFT filtering method in computing simulations. Finally, we present a practical application in compensating the dispersion in Intravascular Optical Coherence Tomography(IVOCT), resolving the obfuscation problems in segmenting the lumen boundaries.
KW - Dispersion
KW - Fractional Fourier transform
KW - Optical coherence tomography
KW - Parameter estimation
UR - http://www.scopus.com/inward/record.url?scp=85072383274&partnerID=8YFLogxK
U2 - 10.1109/ICMA.2019.8816284
DO - 10.1109/ICMA.2019.8816284
M3 - Conference contribution
AN - SCOPUS:85072383274
T3 - Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
SP - 674
EP - 678
BT - Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Mechatronics and Automation, ICMA 2019
Y2 - 4 August 2019 through 7 August 2019
ER -