Literature DB >> 21883622

Preliminary MRI quality assessment and device acceptance guidelines for a multicenter bioclinical study: the GO Glioblastoma Project.

Sylvain Ollivro1, Pierre-Antoine Eliat, Eric Hitti, Loan Tran, Jacques D de Certaines, Hervé Saint-Jalmes.   

Abstract

It is a major challenge to guarantee homogeneous acquisition during a prospective multicenter magnetic resonance imaging (MRI) study that makes use of different devices. The goal of the multicenter Grand Ouest Glioblastoma Project (GOGP) was to correlate MRI quantitative parameters with biological markers extracted from image-guided biopsies. Therefore, it was essential to ensure spatial coherence of the parameters as well as the signal intensity and homogeneity. The project included the same MRI protocol implemented on six devices from different manufacturers. The key point was the initial acceptance of the imaging devices and protocol sequences. For this purpose, and to allow comparison of quantitative patient data, we propose a specific method for quality assessment. A common quality control based on 10 parameters was established. Three pulse sequences of the clinical project protocol were applied using three test-objects. A fourth test-object was used to assess T1 accuracy. Although geometry-related parameters, signal-to-noise ratio, uniformity, and T1 measurements varied slightly depending on the different devices, they nevertheless remained within the recommendations and expectations of the multicenter project. This kind of quality control procedure should be undertaken as a prerequisite to any multicenter clinical project involving quantitative MRI and comparison of data acquisitions with quantitative biological image-guided biopsies.
Copyright © 2011 by the American Society of Neuroimaging.

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Year:  2011        PMID: 21883622     DOI: 10.1111/j.1552-6569.2011.00638.x

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  1 in total

1.  Signal-to-noise ratio evaluation of magnetic resonance images in the presence of an ultrasonic motor.

Authors:  Peyman Shokrollahi; James M Drake; Andrew A Goldenberg
Journal:  Biomed Eng Online       Date:  2017-04-14       Impact factor: 2.819

  1 in total

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