Computational multi-directional optical coherence tomography for visualizing the microstructural directionality of the tissue

Daisuke Oida, Kiriko Tomita, Kensuke Oikawa, Tai Ang Wang, Shuichi Makita, Meng Tsan Tsai, Yoshiaki Yasuno*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

4 Scopus citations

Abstract

We demonstrate computational multi-directional optical coherence tomography (OCT) to assess the directional property of tissue microstructure. This method is the combination of phase-sensitive volumetric OCT imaging and post-signal processing. The latter comprises of two steps. The first step is an intensity-directional analysis, which determines the dominant en face fiber orientations. The second step is the phase-directional imaging, which reveals the sub-resolution depth-orientation of the microstructure. The feasibility of the method was tested by assessing muscle and tendon samples. Stripe patterns with several sizes were visualized in the phase-directional images. In order to interpret these images, the muscle and tendon structures were numerically modeled, and the phase-directional images were generated from the numerical model. The similarity of the experimental and numerical results suggested that the stripe patterns correspond to the muscle fiber bundle and its crimping.

Original languageEnglish
JournalBiomedical Optics Express
Volume12
Issue number7
DOIs
StatePublished - 01 07 2021

Bibliographical note

Publisher Copyright:
© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Fingerprint

Dive into the research topics of 'Computational multi-directional optical coherence tomography for visualizing the microstructural directionality of the tissue'. Together they form a unique fingerprint.

Cite this