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Comparison of similar Mueller and Jones matrix method in catheter based polarization sensitive optical coherence tomography

作   者:
Li, QingruiLai, TianduoDing, ZhenyangTao, KuiyuanZhu, FengyuKuang, HaoHua, PeidongYu, YinLiu, Tiegen
作者机构:
Tianjin UnivNanjing Forssmann Med Technol Co
关键词:
SYSTEMSIGNALBIREFRINGENCE CHARACTERIZATIONOptical coherence tomographyDISPERSIONCatheterIntravascular imagingDECOMPOSITIONINTRAVASCULAR POLARIMETRYTURBID MEDIAESTIMATORPolarization sensitive optical coherencetomographyARTIFACTSBIOLOGICAL TISSUE
期刊名称:
Optics & Laser Technology
i s s n:
0030-3992
年卷期:
2022 年 147 卷
页   码:
摘   要:
Catheter based polarization sensitive optical coherence tomography (PS-OCT) can provide composition information of coronary atherosclerotic plaque beyond the intensity based OCT, but it encounters a notable challenge that is how to reduce polarization properties variations owing to a rapidly rotating optical fiber in the catheter. Similar Jones matrix (SJM) and similar Mueller matrix (SMM) based polarization determination methods can provide a stable phase retardation imaging in a catheter based PS-OCT. In this paper, we systematically contrast SJM and SMM methods. Firstly, we theoretically illustrate the discrepancy between the eigenvalue decomposition in SJM and the polar decomposition in SMM. We find the SMM can reduce phase retardation error caused by non-coaxial diattenuation using polar decomposition. Secondly, we present a real incoherent averaging method in SMM. We find that incoherent averaging in SMM avoids a time-consuming global phase collection and more effectively reduce noise compared with complex coherent averaging in SJM. By polarization imaging for multiple biological tissues using a catheter based PS-OCT, we experimentally manifest that the areas with high diattenuation are highly correlated to the difference between images processed by SJM and SMM. At the same time, the SMM with incoherent averaging has a better performance than the SJM with coherent averaging especially at areas with low signal to noise ratio (SNR).
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