Improvement of MRI-functional measurement with automatic movement correction in native and transplanted kidneys
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | DENIS DE SENNEVILLE, Baudouin | |
hal.structure.identifier | Radiology & Physics Unit, UCL Institute of Child Health | |
dc.contributor.author | MENDICHOVSZKY, Iosif | |
hal.structure.identifier | Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie | |
dc.contributor.author | ROUJOL, Sébastien | |
dc.contributor.author | GORDON, Isky | |
hal.structure.identifier | Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie | |
dc.contributor.author | MOONEN, Chrit | |
hal.structure.identifier | Imagerie moléculaire et fonctionnelle: de la physiologie à la thérapie | |
dc.contributor.author | GRENIER, Nicolas | |
dc.date.accessioned | 2024-04-04T03:10:30Z | |
dc.date.available | 2024-04-04T03:10:30Z | |
dc.date.issued | 2008 | |
dc.identifier.issn | 1053-1807 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/193690 | |
dc.description.abstractEn | Purpose: To improve 2D software for motion correction of renal dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and to evaluate its effect using the Patlak-Rutland model.Material and methods: A subpixel accurate method to correct for kidney motion during DCE-MRI was evaluated on native and transplanted kidneys using data from two different institutions with different magnets and protocols. The Patlak-Rutland model was used to calculate Glomerular Filtration Rate (GFR) on a voxel-by-voxel basis providing mean ( Kp) and uncertainty (Sigma_Kp) values for GFR. Results: In transplanted kidneys, average absolute variation of Kp was 6.4 %±4.8 % (max= 16.6 %). In native kidneys average absolute variation of was 12.11 % ±6.88 % (max= 25.6 %) for the right and 11.6 % ± 6 % (max= 20.8 %) for the left. Movement correction showed an average reduction of Sigma_Kp of 6.9 %±6.6 % (max= 21.4 %) in transplanted kidneys, 30.9 %±17.6 % (max= 60.8 %) for the right native kidney and 31.8 %±14 % (max= 55.3 %) for the left kidney. Conclusion: The movement correction algorithm showed improved uncertainty on GFR computation for both native and transplanted kidneys despite different spatial resolution from the different MRI systems and different levels of signal-to-noise ratios on DCE-MRI. | |
dc.language.iso | en | |
dc.publisher | Wiley-Blackwell | |
dc.title.en | Improvement of MRI-functional measurement with automatic movement correction in native and transplanted kidneys | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1002/jmri.21515 | |
dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
dc.subject.hal | Sciences du Vivant [q-bio]/Ingénierie biomédicale/Imagerie | |
bordeaux.journal | Journal of Magnetic Resonance Imaging | |
bordeaux.page | 970-978 | |
bordeaux.volume | 28 | |
bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
bordeaux.issue | 4 | |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-01503903 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-01503903v1 | |
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