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Generating high-resolution synthetic CT from lung MRI with ultrashort echo-times: initial evaluation in cystic fibrosis

hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorLONGUEFOSSE, Arthur
dc.contributor.authorRAOULT, Julien
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
dc.contributor.authorBENLALA, Ilyes
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation Mathématique pour l'Oncologie [MONC]
dc.contributor.authorDENIS DE SENNEVILLE, Baudouin
dc.contributor.authorBENKERT, Thomas
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
dc.contributor.authorMACEY, Julie
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
dc.contributor.authorBUI, Stéphanie
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
dc.contributor.authorBERGER, Patrick
dc.contributor.authorFERRETTI, Gilbert
dc.contributor.authorGAUBERT, Jean-Yves
dc.contributor.authorLIBERGE, Renan
dc.contributor.authorHUTT, Antoine
dc.contributor.authorMOREL, Baptiste
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
dc.contributor.authorLAURENT, François
hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorBALDACCI, Fabien
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
dc.contributor.authorDOURNES, Gaël
dc.date.accessioned2024-04-04T02:32:53Z
dc.date.available2024-04-04T02:32:53Z
dc.date.issued2023-07-01
dc.identifier.issn0033-8419
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190423
dc.description.abstractEnBackground: Lung MRI with ultrashort echo times (UTE-MRI) enables high-resolution and radiation-free morphological imaging, however, its imaging quality is still lower than CT. Purpose: To assess the image quality and clinical applicability of synthetic CTs generated from lung UTE-MRI using Generative Adversarial Networks (GAN).Methods and Materials: This retrospective study included patients with Cystic Fibrosis (CF) who underwent both UTE-MRI and CT on the same day at six institutions between January 2018 and December 2022. The 2D GAN algorithm was trained using paired MR-to-CT slices and tested, along with an external dataset. Imaging quality was assessed quantitatively by measuring apparent contrast-to-noise-ratio, apparent signal-to-noise-ratio, and overall noise and qualitatively using visual scores for features including artifacts. Two readers evaluated CF-related structural abnormalities and used them to determine clinical Bhalla scores.Results: The training, test, and external datasets were comprised of 82 CF patients (mean age, 21 ± 11 [SD]; 42 males), 28 patients (mean age, 18 ± 11; 16 males), and 46 patients (mean age, 20 ± 11; 24 males), respectively. In the test dataset, the contrast-to-noise ratio of synthetic CTs (median, 303 [interquartile range: 221, 382]) was higher than that of UTE-MRI (9.3 [6.6, 35]; P < .001). The median signal-to-noise ratio was similar between the synthetic and corresponding CT (88 [84, 92] vs 88 [86, 91]; P = 0.96). Synthetic CT had a lower noise level than CT (median score, 22 [18, 30] vs 42 [32, 50]; P < .001) and the lowest level of artifacts (median score, 0 [0, 0]; P ≤ .001). The concordance between Bhalla scores for synthetic and real CTs was almost perfect (ICC, ≥ 0.92). Conclusion: Synthetic CTs showed almost perfect concordance with CTs for the depiction of Cystic Fibrosis-related pulmonary alterations and had better image quality than lung MRI with ultrashort echo-times.
dc.language.isoen
dc.publisherRadiological Society of North America
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enCF
dc.subject.encystic fibrosis UTE-MRI
dc.subject.enultrashort echo time MRI PFT
dc.subject.enpulmonary function test GAN
dc.subject.engeneralized adversarial networks ICC
dc.subject.enintraclass correlation coefficient
dc.title.enGenerating high-resolution synthetic CT from lung MRI with ultrashort echo-times: initial evaluation in cystic fibrosis
dc.typeArticle de revue
dc.identifier.doi10.1148/radiol.230052
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halInformatique [cs]
bordeaux.journalRadiology
bordeaux.volume308
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-04268631
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04268631v1
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