OCT Volumetric Data Restoration with Latent Distribution of Refractive Index

Fujii, G.; Yoshida, Y.; Muramatsu, S.; Ono, S.; Choi, S.; Ota, T.; Nin, F.; Hibino, H.

doi:https://doi.org/10.1109/ICIP.2019.8803737

OCT Volumetric Data Restoration with Latent Distribution of Refractive Index

Fujii, G.; Yoshida, Y.; Muramatsu, S. et al.

2019 International Conference on Image Processing (ICIP), 2019, 2019-September, 764-768

Number of Access:229（2025-06-07 06:47 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/93362

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Title	OCT Volumetric Data Restoration with Latent Distribution of Refractive Index
Creator	CreatorName Fujii, G.
	CreatorName Yoshida, Y.
	NRID 1000030295472 1000030295472 CreatorName Muramatsu, S.
	NRID 1000060752269 1000060752269 CreatorName Ono, S.
	NRID 1000060568418 1000060568418 CreatorName Choi, S.
	NRID 1000030790571 1000030790571 ORCID 0000-0003-0011-8925 0000-0003-0011-8925 researchmap permalink otatakeru otatakeru Scopus Author ID 26642091900 26642091900 CreatorName Ota, T.
	NRID 1000080644905 1000080644905 CreatorName Nin, F.
	NRID 1000070314317 1000070314317 researchmap permalink hiroshi_hibino hiroshi_hibino Scopus Author ID 7007020846 7007020846 CreatorName Hibino, H.
Subject	MS en-face OCT
	primal-dual splitting method
	Refractive index distribution
	sparse modeling
	volumetric data
Description	Fujii G., Yoshida Y., Muramatsu S., et al. OCT Volumetric Data Restoration with Latent Distribution of Refractive Index. Proceedings - International Conference on Image Processing, ICIP 2019-September, 764 (2019); https://doi.org/10.1109/ICIP.2019.8803737.
Abstract	This work proposes a novel restoration model for optical coherence tomography (OCT) data. The authors have been developing a multi-frequency swept (MS) en-face OCT device that can help understand the mechanism of the sensory epithelium in the cochlear. Although the device has merit in acquiring moving tissues, the broadened light gives a weak response; thus, some signal restorations are demanded. This work proposes the introduction of a formulation for OCT data restoration as a convex optimization problem by assuming a latent refractive index distribution. An algorithm to solve the problem with the primal-dual splitting (PDS) framework is then derived. The PDS has an advantage of requiring no inverse matrix operation and being able to handle high-dimensional data. The significance of the proposed model is verified by simulations on artificial data, followed by an experiment with the actual observation of 256 256 2000 voxels.
Conference Information	Conference Name IEEE International Conference on Image Processing (ICIP) Conference Sequence 26 Conference Date September 22nd to September 25th 2019 Conference Venue Taipei International Convention Center Conference Place Taipei Conference Country
Publisher	IEEE Computer Society
Source Title	2019 International Conference on Image Processing (ICIP)
Volume (Issue)	2019-September
Page	764-768
Date of Issued	2019-09-22
Language	English
Handle URL	https://hdl.handle.net/11094/93362
PISSN	15224880
eISSN	23818549
Relation.isVersionOf	DOI (Publisher Version) https://doi.org/10.1109/ICIP.2019.8803737
Access Rights	open access
CopyRight	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
oaire:version	Accepted Manuscript
Category	会議発表論文 Conference Paper

Resource Type	conference paper
Local Type	Conference Paper
DCMI Type	Text
DCTERMS.bibliographicCitation	2019 International Conference on Image Processing (ICIP). 2019, 2019-September, p. 764-768
DC.title	OCT Volumetric Data Restoration with Latent Distribution of Refractive Index
DC.creator	Fujii, G.
	Yoshida, Y.
	Muramatsu, S.
	Ono, S.
	Choi, S.
	Ota, T.
	Nin, F.
	Hibino, H.
DC.publisher	IEEE Computer Society
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2019-09-22
DC.identifier	https://doi.org/10.1109/ICIP.2019.8803737
DC.subject	MS en-face OCT
	primal-dual splitting method
	Refractive index distribution
	sparse modeling
	volumetric data
DC.description	Fujii G., Yoshida Y., Muramatsu S., et al. OCT Volumetric Data Restoration with Latent Distribution of Refractive Index. Proceedings - International Conference on Image Processing, ICIP 2019-September, 764 (2019); https://doi.org/10.1109/ICIP.2019.8803737.
DCTERMS.abstract	This work proposes a novel restoration model for optical coherence tomography (OCT) data. The authors have been developing a multi-frequency swept (MS) en-face OCT device that can help understand the mechanism of the sensory epithelium in the cochlear. Although the device has merit in acquiring moving tissues, the broadened light gives a weak response; thus, some signal restorations are demanded. This work proposes the introduction of a formulation for OCT data restoration as a convex optimization problem by assuming a latent refractive index distribution. An algorithm to solve the problem with the primal-dual splitting (PDS) framework is then derived. The PDS has an advantage of requiring no inverse matrix operation and being able to handle high-dimensional data. The significance of the proposed model is verified by simulations on artificial data, followed by an experiment with the actual observation of 256 256 2000 voxels.
DC.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
DC.format	93362
citation_title	OCT Volumetric Data Restoration with Latent Distribution of Refractive Index
citation_author	Fujii, G.
	Yoshida, Y.
	Muramatsu, S.
	Ono, S.
	Choi, S.
	Ota, T.
	Nin, F.
	Hibino, H.
citation_publisher	IEEE Computer Society
citation_language	English
citation_date	2019-09-22
citation_journal_title	2019 International Conference on Image Processing (ICIP)
citation_volume	2019-September
citation_firstpage	764
citation_lastpage	768
citation_doi	https://doi.org/10.1109/ICIP.2019.8803737
citation_public_url	https://hdl.handle.net/11094/93362

OCT Volumetric Data Restoration with Latent Distribution of Refractive Index

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