Presentation 2018-05-17
On OCT Volumetric Data Restoration via Hierarchical Sparsity and Hard Constraint
Shogo Muramatsu, Satoshi Nagayama, Samuel Choi, Shunsuke Ono, Takeru Ota, Fumiaki Nin, Hiroshi Hibino,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This work proposes a novel restoration method for optical coherence tomography (OCT) data. OCT is a measurement technique that acquires a tomographic image in the order of a few $mu$m scale by using a near infrared laser. In order to deeply understand the mechanism of sensory epithelium in cochlear, the authors are working on dynamic tomographic imaging of hair cells of guinea pig in vivo and develop a multi-frequency swept (MS) enface OCT device. Currently, the device faces to a problem that the reflected light is quite weak, and a help of image processing is demanded to estimate the reflectional distribution hidden in noise. In the article cite{icassp2018}, a restoration method is given by reducing the problem to a regularized least squares one with a hard constraint for reflections. This work further proposes to introduce another regularization and constraint for the latent refractive index distribution. The significance of the proposed model is verified by simulation on artificial data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Volumetric data restoration / Primal-dual proximal splitting method / Sparse regularization / Hard constraint / BM4D / OCT
Paper # SIP2018-3,IE2018-3,PRMU2018-3,MI2018-3
Date of Issue 2018-05-10 (SIP, IE, PRMU, MI)

Conference Information
Committee PRMU / MI / IE / SIP
Conference Date 2018/5/17(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shinichi Sato(NII) / Kensaku Mori(Nagoya Univ.) / Takayuki Hamamoto(Tokyo Univ. of Science) / Masahiro Okuda(Univ. of Kitakyushu)
Vice Chair Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) / Kazuya Kodama(NII) / Hideaki Kimata(NTT) / Shogo Muramatsu(Niigata Univ.) / Naoyuki Aikawa(TUS)
Secretary Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.) / Kazuya Kodama(Nagoya Univ.) / Hideaki Kimata(KDDI Research) / Shogo Muramatsu(Chiba Inst. of Tech.) / Naoyuki Aikawa(Takushoku Univ.)
Assistant Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) / Yasutaka Matsuo(NHK) / Kazuya Hayase(NTT) / Masayoshi Nakamoto(Hiroshima Univ.ひろ)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Medical Imaging / Technical Committee on Image Engineering / Technical Committee on Signal Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On OCT Volumetric Data Restoration via Hierarchical Sparsity and Hard Constraint
Sub Title (in English)
Keyword(1) Volumetric data restoration
Keyword(2) Primal-dual proximal splitting method
Keyword(3) Sparse regularization
Keyword(4) Hard constraint
Keyword(5) BM4D
Keyword(6) OCT
1st Author's Name Shogo Muramatsu
1st Author's Affiliation Niigata University(Niigata Univ.)
2nd Author's Name Satoshi Nagayama
2nd Author's Affiliation Niigata University(Niigata Univ.)
3rd Author's Name Samuel Choi
3rd Author's Affiliation Niigata University(Niigata Univ.)
4th Author's Name Shunsuke Ono
4th Author's Affiliation Tokyo Institute of Technology(Tokyo Institute of Tech.)
5th Author's Name Takeru Ota
5th Author's Affiliation Niigata University(Niigata Univ.)
6th Author's Name Fumiaki Nin
6th Author's Affiliation Niigata University(Niigata Univ.)
7th Author's Name Hiroshi Hibino
7th Author's Affiliation Niigata University(Niigata Univ.)
Date 2018-05-17
Paper # SIP2018-3,IE2018-3,PRMU2018-3,MI2018-3
Volume (vol) vol.118
Number (no) SIP-33,IE-34,PRMU-35,MI-36
Page pp.pp.7-12(SIP), pp.7-12(IE), pp.7-12(PRMU), pp.7-12(MI),
#Pages 6
Date of Issue 2018-05-10 (SIP, IE, PRMU, MI)