Magnetic resonance imaging (MRI) is a noninvasive and non-ionizing (no use of X-rays) imaging modality. Today it is considered an anatomical and functional exploration reference technique. Since its inception around 1985, this technology is constantly evolving. Many advances in MRI require constant adaptations of radiological practices. The morphological image is now associated with functional and parametric information (infusion, diffusion spectroscopy, etc ...). In parallel, work combining acquisition and post-processing of data also open new applications (tractography, functional MRI, etc ....). Thus, more and more procedures are necessary to "integrate" these techniques for the diagnosis and adapt to new demands of clinicians. The type of sequence and its associated parameters allow to directly influence the contrast of images, to characterize tissue compared to another and, ultimately, to highlight morphological or functional abnormality. Image quality can be optimized on each MRI, depending on the time available for the acquisition on the one hand, and on the desired resolution and contrast, on the other hand. For each sequence, it is therefore necessary to find a compromise that will optimize the diagnostic quality of the examination. This optimization requires a phase focusing on healthy volunteers. It is therefore important that researchers and physicists could design on healthy volunteers, the best settings of all parameters for an image or spectrum. Indeed, it is always necessary to properly optimize every parameter choices before beginning a study of a cohort of patients. In this context, the main objective of this study is to optimize sequences and imaging protocols to evaluate and validate the choice of parameters in healthy volunteers.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
628
MRI of the Neurinfo platform is an MRI 3 Tesla Magnetom Verio model, Siemens (Siemens Healthcare, Erlangen, Germany). This imager is marked for European Conformity (CE), ensuring compliance with European Union safety standards.
Radiology Department CHU de Rennes
Rennes, France
Quantitative assessment of acquired sequences
Quality images, maps or spectra acquired with optimized parameters will be compared to standard acquisitions. This evaluation will be based on quantitative criteria extracted from computer analysis of the data : signal to noise ratio, contrast-to-noise, blur level, information sharing, collocation of areas set evidenced by the different techniques, etc...
Time frame: One day after data acquisitions
Qualitative assessment of acquired sequences
Quality images, maps or spectra acquired with optimized parameters will be compared to standard acquisitions. This evaluation will be based on statistical comparison of visual qualitative criteria by experts radiologists
Time frame: One day after data acquisitions
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