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Article: DER-GAN: Dual-Energy Recovery GAN for Conebeam CT

TitleDER-GAN: Dual-Energy Recovery GAN for Conebeam CT
Authors
Keywordscone-beam CT
Dual-energy
GAN
multi-material decomposition
projection
strip-type modulator
Issue Date1-Jan-2024
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE Transactions on Computational Imaging, 2024, v. 10, p. 28-42 How to Cite?
Abstract

Dual-energy cone-beam computed tomography (DE-CBCT) integrates dual-energy imaging seamlessly into the CBCT system, offering a practical solution for real-time clinical applications in treatment rooms. Traditional DE-CBCT systems often rely on intricate hardware or dual scanning, imposing significant constraints on the broader application of dual-energy CT (DECT) in CBCT machines. In this study, we introduce an innovative GAN-based single-scan dual-energy CBCT reconstruction strategy designed for DE-CBCT systems, effectively reducing acquisition time compared to conventional two-scan DE-CBCT approaches. Our approach leverages a strip-type modulator positioned in front of the detector, enabling the acquisition of spectra-mixed dual-energy projections in a single scan by modulating specific areas on the detector. The obtained incomplete dual-energy projections undergo precise recovery through our designed dual-energy recovery GAN (DER-GAN). DER-GAN adeptly extracts complementary spectra and ensures consistency in anatomical information between high and low-energy projections. Through qualitative and quantitative analyses, DER-GAN demonstrates commendable performance in terms of CT number accuracy and preservation of anatomical details. Furthermore, in the realm of DECT applications, particularly in multi-material decomposition, DER-GAN's reconstructed images exhibit promising potential for clinical CBCT applications. This pioneering approach represents a significant stride toward efficient and practical integration of dual-energy imaging into the CBCT paradigm.


Persistent Identifierhttp://hdl.handle.net/10722/347494
ISSN
2023 Impact Factor: 4.2

 

DC FieldValueLanguage
dc.contributor.authorXiang, Jiajun-
dc.contributor.authorMao, Aihua-
dc.contributor.authorXie, Jiayi-
dc.contributor.authorHan, Hongbin-
dc.contributor.authorWang, Xianghong-
dc.contributor.authorJin, Peng-
dc.contributor.authorDu, Jichen-
dc.contributor.authorDing, Mingchao-
dc.contributor.authorYu, Lequan-
dc.contributor.authorNiu, Tianye-
dc.date.accessioned2024-09-24T00:30:27Z-
dc.date.available2024-09-24T00:30:27Z-
dc.date.issued2024-01-01-
dc.identifier.citationIEEE Transactions on Computational Imaging, 2024, v. 10, p. 28-42-
dc.identifier.issn2573-0436-
dc.identifier.urihttp://hdl.handle.net/10722/347494-
dc.description.abstract<p>Dual-energy cone-beam computed tomography (DE-CBCT) integrates dual-energy imaging seamlessly into the CBCT system, offering a practical solution for real-time clinical applications in treatment rooms. Traditional DE-CBCT systems often rely on intricate hardware or dual scanning, imposing significant constraints on the broader application of dual-energy CT (DECT) in CBCT machines. In this study, we introduce an innovative GAN-based single-scan dual-energy CBCT reconstruction strategy designed for DE-CBCT systems, effectively reducing acquisition time compared to conventional two-scan DE-CBCT approaches. Our approach leverages a strip-type modulator positioned in front of the detector, enabling the acquisition of spectra-mixed dual-energy projections in a single scan by modulating specific areas on the detector. The obtained incomplete dual-energy projections undergo precise recovery through our designed dual-energy recovery GAN (DER-GAN). DER-GAN adeptly extracts complementary spectra and ensures consistency in anatomical information between high and low-energy projections. Through qualitative and quantitative analyses, DER-GAN demonstrates commendable performance in terms of CT number accuracy and preservation of anatomical details. Furthermore, in the realm of DECT applications, particularly in multi-material decomposition, DER-GAN's reconstructed images exhibit promising potential for clinical CBCT applications. This pioneering approach represents a significant stride toward efficient and practical integration of dual-energy imaging into the CBCT paradigm.</p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE Transactions on Computational Imaging-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectcone-beam CT-
dc.subjectDual-energy-
dc.subjectGAN-
dc.subjectmulti-material decomposition-
dc.subjectprojection-
dc.subjectstrip-type modulator-
dc.titleDER-GAN: Dual-Energy Recovery GAN for Conebeam CT-
dc.typeArticle-
dc.identifier.doi10.1109/TCI.2023.3348330-
dc.identifier.scopuseid_2-s2.0-85181575746-
dc.identifier.volume10-
dc.identifier.spage28-
dc.identifier.epage42-
dc.identifier.eissn2333-9403-
dc.identifier.issnl2333-9403-

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