Development of biological 3-D tomographic imaging device using variable frequency wideband optical comb
SUMMARY
MSIP Lab is working on restoring medical images by usign signal processing techniques. In this project, we aim to clarify the vibration mechanism and auditory function of the inner ear cochlea. By optical coherence tomography (OCT), tomographic images and volumetric data of living tissues are measured with a spatial resolution in μm order. Meanwhile, deterioration of observation data (sensitivity noise of imaging device, blur due to lens aberration, etc.) is a problem. In MSIP Lab, we study the restoration algorithm for volumetric data and aim to improve the quality of OCT data.
Publications
Journal Papers
- Samuel Choi, Fumiaki Nin, Takeru Ota, Kouhei Sato, Shogo Muramatsu, and Hiroshi Hibino , In vivo tomographic visualization of intracochlear vibration using a supercontinuum multifrequency-swept optical coherence microscope , Biomedical Optics Express, Vol. 10, No.7, 10.1364/BOE.10.003317, pp.3317-3342, July 2019.
- Samuel Choi, Keita Sato, Takeru Ota, Fumiaki Nin, Shogo Muramatsu, and Hiroshi Hibino, Multifrequency-Swept Optical Coherence Microscopy for Highspeed Full-Field Tomographic Vibrometry in Biological Tissues, Biomedical Optics Express, Vol. 8, No.2,10.1364/BOE.8.000608, pp. 608-621 Feb. 2017.
- Ruiki Kobayashi, Genki Fujii, Yuta Yoshida, Takeru Ota, Fumiaki Nin, Hiroshi Hibino, Samuel Choi, Shunsuke Ono, Shogo Muramatsu, “Sparsity-Aware OCT Volumetric Data Restoration Using Optical Synthesis Model,” DOI: 10.1109/TCI.2022.3183396, IEEE Transactions on Computational Imaging, Vol. 8, pp.505 – 520, June 2022
International Conferences
- Shogo Muramatsu, Samuel Choi, Shunske Ono, Takeru Ota, Fumiaki Nin, Hiroshi Hibino: OCT Volumetric Data Restoration via Primal-Dual Plug-and-Play Method, Proc. of IEEE International Conference on Audio, Speech and Signal Processing, Calgary, Apr. 2018
- Shogo Muramatsu, Samuel Choi and Takumi Kawamura: 3-D OCT Data Denoising with Non-separable Oversampled Lapped Transform, Proc. of Asia Pacific Signal and Information Proc. Assoc. Annual Summit and Conf. (APSIPA ASC), pp.901-906, Hong Kong, Dec. 2015