
Computational multi-directional optical coherence tomography for visualizing the microstructural directionality of the tissue
Author(s) -
Daisuke Oida,
Kiriko Tomita,
Kensuke Oikawa,
Tai-Ang Wang,
Shuichi Makita,
Meng-Tsan Tsai,
Yoshiaki Yasuno
Publication year - 2021
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.426125
Subject(s) - optical coherence tomography , optics , tomography , image resolution , materials science , bundle , fiber bundle , phase (matter) , image processing , orientation (vector space) , biomedical engineering , computer science , computer vision , physics , geometry , mathematics , image (mathematics) , medicine , quantum mechanics , composite material
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.