In vivo dynamic optical coherence tomography with hardware- and software-based motion correction

Yu Guo; Rion Morishita; Ibrahim Abd El-Sadek; Pradipta Mukherjee; Yiqiang Zhu; Yoshiaki Yasuno

doi:10.1117/12.3005623

12 March 2024 In vivo dynamic optical coherence tomography with hardware- and software-based motion correction

Yu Guo, Rion Morishita, Ibrahim Abd El-Sadek, Pradipta Mukherjee, Yiqiang Zhu, Yoshiaki Yasuno

Proceedings Volume 12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII; 128300Y (2024) https://doi.org/10.1117/12.3005623
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Dynamic optical coherence tomography (DOCT) is a label-free technique that visualizes tissue dynamics by analyzing a long-time sequence of OCT images. Although it was successful for in vitro and ex vivo imaging, it is still challenging for in vivo imaging because of the sample motion. We address this issue by developing hardware- and software-based motion suppression methods and demonstrating in vivo DOCT imaging of human skin. The hardware method is a sample fixation spacer. The software method is an image-registration based motion correction. We used logarithmic intensity variance (LIV) method to image the tissue dynamics. LIV was calculated from 32 sequential OCT frames taken within a 6.35s time window. The interframe time interval was 204.8ms and the entire DOCT volume was measured in 52.4s. Furthermore, we measured OCT angiography (OCTA) by standard raster scan with four frame repeats. To quantitively analyzing the improvement of proposed methods, three regions of interests (ROIs), each measuring 176μm (in depth) × 217μm (in lateral direction), was select from one B-scan to calculate the mean LIV. The improvement was assessed by paired t-test. The motion correction methods significantly reduced the high-LIV artifacts and revealed very fine capillary structures that had been buried by motion artefacts. The paired t-test results showed that the combination of fixation spacer and the software correction significantly reduced LIV artifacts (p=0.0052, 0.0137 and 0.0068 for three ROIs).

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yu Guo, Rion Morishita, Ibrahim Abd El-Sadek, Pradipta Mukherjee, Yiqiang Zhu, and Yoshiaki Yasuno "In vivo dynamic optical coherence tomography with hardware- and software-based motion correction", Proc. SPIE 12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII, 128300Y (12 March 2024); https://doi.org/10.1117/12.3005623

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