Multi-focus average for multiple scattering noise suppression in optical coherence tomography

Zhu, Lida; Makita, Shuichi; Litchtenegger, Antonia; Tamaoki, Junya; Oikawa, Kensuke; Mukherjee, Pradipta; Lim, Yiheng; Luo, Jiajie; Yasuno, Yoshiaki

doi:10.1117/12.2609190

Search citation statements

Order By: Relevance

Paper Sections

Select...

Discussion1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite1

Independent0

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…And the behavior of multiple scattering could be affected by defocus and aberrations. In the future, it is worth investigating the effect of multiple-scattering-photon-rejection methods [ 74 – 77 ] on the polarization artifacts.…”

Section: Discussionmentioning

confidence: 99%

Computational refocusing of Jones matrix polarization-sensitive optical coherence tomography and investigation of defocus-induced polarization artifacts

Zhu

Makita

Oida

et al. 2022

Biomed. Opt. Express

Self Cite

View full text Add to dashboard Cite

Here we demonstrate a long-depth-of-focus imaging method using polarization sensitive optical coherence tomography (PS-OCT). This method involves a combination of Fresnel-diffraction-model-based phase sensitive computational refocusing and Jones-matrix based PS-OCT (JM-OCT). JM-OCT measures four complex OCT images corresponding to four polarization channels. These OCT images are computationally refocused as preserving the mutual phase consistency. This method is validated using a static phantom, postmortem zebrafish, and ex vivo porcine muscle samples. All the samples demonstrated successful computationally-refocused birefringence and degree-of-polarization-uniformity (DOPU) images. We found that defocusing induces polarization artifacts, i.e., incorrectly high birefringence values and low DOPU values, which are substantially mitigated by computational refocusing.

show abstract

Section: Discussionmentioning

confidence: 99%