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Deep neural networks for ring artifacts segmentation and corrections in fragments of CT images

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dc.contributor.authorReimers, I.
dc.contributor.authorYakimchuk, I.
dc.contributor.authorKornilov, A.
dc.contributor.authorSafonov, I.
dc.contributor.authorКорнилов, Антон Сергеевич
dc.contributor.authorСафонов, Илья Владимирович
dc.date.accessioned2024-11-29T11:53:17Z
dc.date.available2024-11-29T11:53:17Z
dc.date.issued2021
dc.description.abstract© 2021 IEEE Computer Society. All rights reserved.Ring artifacts are typical defects of computed tomography (CT) that degrade the quality of a 3D reconstructed image. Existing techniques for a ring reduction have various shortcomings and limitations, in particular, a lot of them are unable to process arbitrary fragments of the image and blur artifact-free regions. We propose an algorithm for ring artifacts segmentation and reduction by deep convolutional neural networks that correct 3D fragments of the CT image by inpainting. We compare 2D and 3D architectures of networks. For the creation of a dataset with a big number of ring artifacts, we propose a procedure that is able to transfer an artifact from one image to an arbitrary place of another image. The appearance of the transferred artifact changes. For ring artifact segmentation and correction in images of sandstones and sand, the proposed networks demonstrate good visual results and outperform existing methods. The proposed technique concentrates on the Digital Rock workflow, but the networks can be adjusted for the processing of other CT images as well.
dc.identifier.citationDeep neural networks for ring artifacts segmentation and corrections in fragments of CT images / Reimers, I. [et al.] // Conference of Open Innovation Association, FRUCT. - 2021. - 2021-January. - 10.23919/FRUCT50888.2021.9347587
dc.identifier.doi10.23919/FRUCT50888.2021.9347587
dc.identifier.urihttps://www.doi.org/10.23919/FRUCT50888.2021.9347587
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85101217600&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000672554500024
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/23702
dc.relation.ispartofConference of Open Innovation Association, FRUCT
dc.titleDeep neural networks for ring artifacts segmentation and corrections in fragments of CT images
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume2021-January
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