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.