hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
dc.contributor.author | LONGUEFOSSE, Arthur | |
dc.contributor.author | RAOULT, Julien | |
hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
dc.contributor.author | BENLALA, Ilyes | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
dc.contributor.author | DENIS DE SENNEVILLE, Baudouin | |
dc.contributor.author | BENKERT, Thomas | |
hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
dc.contributor.author | MACEY, Julie | |
hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
dc.contributor.author | BUI, Stéphanie | |
hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
dc.contributor.author | BERGER, Patrick | |
dc.contributor.author | FERRETTI, Gilbert | |
dc.contributor.author | GAUBERT, Jean-Yves | |
dc.contributor.author | LIBERGE, Renan | |
dc.contributor.author | HUTT, Antoine | |
dc.contributor.author | MOREL, Baptiste | |
hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
dc.contributor.author | LAURENT, François | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
dc.contributor.author | BALDACCI, Fabien | |
hal.structure.identifier | Centre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB] | |
dc.contributor.author | DOURNES, Gaël | |
dc.date.accessioned | 2024-04-04T02:32:53Z | |
dc.date.available | 2024-04-04T02:32:53Z | |
dc.date.issued | 2023-07-01 | |
dc.identifier.issn | 0033-8419 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/190423 | |
dc.description.abstractEn | Background: 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.iso | en | |
dc.publisher | Radiological Society of North America | |
dc.rights.uri | http://creativecommons.org/licenses/by/ | |
dc.subject.en | CF | |
dc.subject.en | cystic fibrosis UTE-MRI | |
dc.subject.en | ultrashort echo time MRI PFT | |
dc.subject.en | pulmonary function test GAN | |
dc.subject.en | generalized adversarial networks ICC | |
dc.subject.en | intraclass correlation coefficient | |
dc.title.en | Generating high-resolution synthetic CT from lung MRI with ultrashort echo-times: initial evaluation in cystic fibrosis | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1148/radiol.230052 | |
dc.subject.hal | Sciences du Vivant [q-bio] | |
dc.subject.hal | Informatique [cs] | |
bordeaux.journal | Radiology | |
bordeaux.volume | 308 | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.issue | 1 | |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-04268631 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-04268631v1 | |
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