[20a-A305-1~9] 3.3 Biomedical optics (formerly 3.4)

9:15 AM - 9:30 AM JST(12:15 AM - 12:30 AM UTC)English Presentation

[20a-A305-2] Deep learning based high-speed three-dimensional dynamic optical coherence tomography generation for tumor spheroid evaluation

〇(M2)Yusong Liu¹, Ibrahim Abd El-Sadek^1,2, Shuichi Makita¹, Tomoko Mori³, Atsuko Furukawa³, Satoshi Matsusaka³, Yoshiaki Yasuno¹ (1.COG, Univ. of Tsukuba, 2.Faculty of Science, Damietta Univ., 3.Faculty of Medicine, Univ. of Tsukuba)

Keywords:

Optical coherence tomography,tumor spheroid,deep learning

We proposed a deep-learning-based method that requires short acquisition time to achieve high-speed three-dimensional (3-D) dynamic optical coherence tomography (D-OCT) for tumor spheroid evaluation. This method requires volumetric acquisition time of 6.55 seconds, which is only 12.5% of that of conventional 3-D D-OCT algorithm. D-OCT generated by this method shows similar image appearance and numerical metrics to conventional 3-D D-OCT for tumor spheroids. Our NN-based LIV algorithm has potential for high-speed three-dimensional D-OCT generation and replacing conventional 3-D D-OCT for 3-D evaluation of tumor spheroid.