دورية أكاديمية

Optimization of intra-voxel incoherent motion imaging at 3.0 Tesla for fast liver examination.

التفاصيل البيبلوغرافية
العنوان: Optimization of intra-voxel incoherent motion imaging at 3.0 Tesla for fast liver examination.
المؤلفون: Leporq, B., Saint-Jalmes, Hervé, Rabrait, C., Pilleul, F., Guillaud, O., Dumortier, J., Scoazec, J.-Y., Beuf, O.
المساهمون: RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), CRLCC Eugène Marquis (CRLCC), UNICANCER, Clinical Science Development Group, GE Healthcare, Centre Léon Bérard Lyon, Departement d'imagerie Digestive, Hospices Civils de Lyon (HCL), Département d'hépatologie, Département d'anatomopathologie, biopathologie
المصدر: ISSN: 1053-1807.
بيانات النشر: HAL CCSD
Wiley-Blackwell
سنة النشر: 2015
المجموعة: Université Jean Monnet – Saint-Etienne: HAL
مصطلحات موضوعية: MRI, IVIM, liver, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
الوصف: International audience ; BACKGROUND: Optimization of multi b-values MR protocol for fast intra-voxel incoherent motion imaging of the liver at 3.0 Tesla. METHODS: A comparison of four different acquisition protocols were carried out based on estimated IVIM (DSlow , DFast , and f) and ADC-parameters in 25 healthy volunteers. The effects of respiratory gating compared with free breathing acquisition then diffusion gradient scheme (simultaneous or sequential) and finally use of weighted averaging for different b-values were assessed. An optimization study based on Cramer-Rao lower bound theory was then performed to minimize the number of b-values required for a suitable quantification. The duration-optimized protocol was evaluated on 12 patients with chronic liver diseases RESULTS: No significant differences of IVIM parameters were observed between the assessed protocols. Only four b-values (0, 12, 82, and 1310 s.mm(-2) ) were found mandatory to perform a suitable quantification of IVIM parameters. DSlow and DFast significantly decreased between nonadvanced and advanced fibrosis (P < 0.05 and P < 0.01) whereas perfusion fraction and ADC variations were not found to be significant. CONCLUSION: Results showed that IVIM could be performed in free breathing, with a weighted-averaging procedure, a simultaneous diffusion gradient scheme and only four optimized b-values (0, 10, 80, and 800) reducing scan duration by a factor of nine compared with a nonoptimized protocol. Preliminary results have shown that parameters such as DSlow and DFast based on optimized IVIM protocol can be relevant biomarkers to distinguish between nonadvanced and advanced fibrosis. J. Magn. Reson. Imaging 2014. © 2014 Wiley Periodicals, Inc.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: info:eu-repo/semantics/altIdentifier/pmid/25044653; hal-01030858; https://hal.science/hal-01030858Test; PUBMED: 25044653
DOI: 10.1002/jmri.24693
الإتاحة: https://doi.org/10.1002/jmri.24693Test
https://hal.science/hal-01030858Test
رقم الانضمام: edsbas.17A710EE
قاعدة البيانات: BASE