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Article: Improved Material Decomposition with a Two-step Regularization for spectral CT

TitleImproved Material Decomposition with a Two-step Regularization for spectral CT
Authors
KeywordsSpectral computed tomography
two-step regularization
image reconstruction
material decomposition
Issue Date2019
PublisherInstitute of Electrical and Electronics Engineers: Open Access Journals. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6287639
Citation
IEEE Access, 2019, v. 7, p. 158770-158781 How to Cite?
AbstractOne of the advantages of spectral computed tomography (CT) is it can achieve accurate material components using the material decomposition methods. The image-based material decomposition is a common method to obtain specific material components, and it can be divided into two steps: image reconstruction and post material decomposition. To obtain accurate material maps, the image reconstruction method mainly focuses on improving image quality by incorporating regularization priors. Very recently, the regularization priors are introduced into the post material decomposition procedure in the iterative image-based methods. Since the regularization priors can be incorporated into image reconstruction and post image-domain material decomposition, the performance of regularization by combining these two cases is still an open problem. To realize this goal, the material accuracy from those steps are first analyzed and compared. Then, to further improve the accuracy of decomposition materials, a two-step regularization based method is developed by incorporating priors into image reconstruction and post material decomposition. Both numerical simulation and preclinical mouse experiments are performed to demonstrate the advantages of the two-step regularization based method in improving material accuracy.
Persistent Identifierhttp://hdl.handle.net/10722/283362
ISSN
2023 Impact Factor: 3.4
2023 SCImago Journal Rankings: 0.960
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWu, W-
dc.contributor.authorChen, P-
dc.contributor.authorVardhanabhuti, V-
dc.contributor.authorWu, W-
dc.contributor.authorYu, H-
dc.date.accessioned2020-06-22T02:55:30Z-
dc.date.available2020-06-22T02:55:30Z-
dc.date.issued2019-
dc.identifier.citationIEEE Access, 2019, v. 7, p. 158770-158781-
dc.identifier.issn2169-3536-
dc.identifier.urihttp://hdl.handle.net/10722/283362-
dc.description.abstractOne of the advantages of spectral computed tomography (CT) is it can achieve accurate material components using the material decomposition methods. The image-based material decomposition is a common method to obtain specific material components, and it can be divided into two steps: image reconstruction and post material decomposition. To obtain accurate material maps, the image reconstruction method mainly focuses on improving image quality by incorporating regularization priors. Very recently, the regularization priors are introduced into the post material decomposition procedure in the iterative image-based methods. Since the regularization priors can be incorporated into image reconstruction and post image-domain material decomposition, the performance of regularization by combining these two cases is still an open problem. To realize this goal, the material accuracy from those steps are first analyzed and compared. Then, to further improve the accuracy of decomposition materials, a two-step regularization based method is developed by incorporating priors into image reconstruction and post material decomposition. Both numerical simulation and preclinical mouse experiments are performed to demonstrate the advantages of the two-step regularization based method in improving material accuracy.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers: Open Access Journals. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6287639-
dc.relation.ispartofIEEE Access-
dc.rightsIEEE Access. Copyright © Institute of Electrical and Electronics Engineers (IEEE): OAJ.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectSpectral computed tomography-
dc.subjecttwo-step regularization-
dc.subjectimage reconstruction-
dc.subjectmaterial decomposition-
dc.titleImproved Material Decomposition with a Two-step Regularization for spectral CT-
dc.typeArticle-
dc.identifier.emailWu, W: weiwenwu@hku.hk-
dc.identifier.emailVardhanabhuti, V: varv@hku.hk-
dc.identifier.authorityVardhanabhuti, V=rp01900-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ACCESS.2019.2950427-
dc.identifier.scopuseid_2-s2.0-85076580917-
dc.identifier.hkuros310387-
dc.identifier.volume7-
dc.identifier.spage158770-
dc.identifier.epage158781-
dc.identifier.isiWOS:000510441300003-
dc.publisher.placeUnited States-
dc.identifier.issnl2169-3536-

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