Presentation Information
[20a-A305-5]In vivo dynamic optical coherence tomography with hardware- and software-based motion correction methods
〇(M1)YU GUO1, Rion Morishita1, Ibrahim Abd El-Sadek1,2, Pradipta Mukherjee1, Yiqiang Zhu1, Yoshiaki Yasuno1 (1.Univ. of Tsukuba, 2.Damietta Univ.)
Keywords:
In-vivo dynamic optical coherence tomography,Motion correction,Human skin imaging
Dynamic Optical Coherence Tomography (D-OCT) is an imaging modality that visualizes and quantifies intracellular motility by statically analyzing the temporal characteristics of a few-second sequential OCT frames acquired at the same location in the tissue. However, in vivo D-OCT imaging is challenging due to the involuntary motions, which cause motion artifacts in D-OCT images. In this study, we implemented a fixation spacer and bulk motion correction algorithm to acquire motion-suppressed D-OCT data. The sample was human outer forearm skin. Logarithmic intensity variance (LIV) was used as the D-OCT contrast to visualize the tissue dynamics. A significant improvement in LIV was obtained, and multiple vessel-like structures, which were muddled in high LIV artifacts when measuring the sample without our proposed method, were clearly visualized. The results indicate that our proposed method is promising for in vivo D-OCT imaging.