Currently, standard brain MRI takes 20 to 25 minutes, but in the case of ischemic stroke, every minute counts to limit the extension of the necrotic core, with the possibility of recanalizing the occluded artery (intravenous thrombolysis and/or mechanical thrombectomy). The recent concept of MRI "Fingerprint" (Magnetic Resonance Fingerprinting, MRF) allows the production of a rapid single sequence and the extraction of numerous parameters. Demonstrating the feasibility and interpretability of multimodal MRI images acquired in MRF would make it possible to consider implementing and, ultimately, replacing conventional sequences, with the aim of shortening acute stroke management times, increasing the number of sequences acquired within a short timeframe (by increasing informativeness), and thus improving patients\' short and long-term vital and functional prognosis.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
10
Classic and MRF sequences will be carried out on the clinical machine (Achieva 3.0T dStream Philips) of the IRMaGe platform (CHUGA, Université Grenoble Alpes, Inserm, CNRS).
Chu Grenoble Alpes
Grenoble, France
Success rate and interpretability of images acquired in MRF
Assessment of the success rate and interpretability (subjective evaluation with Likert scales of very satisfactory, satisfactory, insufficient, or unacceptable)
Time frame: From enrollment to the end of the MRI exam
Characterize and extract the physical parameters of the signal acquired with MRF.
Comparison of MRF imaging metrics: signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), using mean values per ROI (region of interest). Segmentation and comparison of lesions, with calculation of the Dice similarity coefficient and/or SSIM (Structural SIMilarity). Visualization and description of artifacts encountered during acquisition (e.g., motion). Quantification of delays: Acquisition time: retrieval of raw data directly from MRI consoles. Reconstruction time: measurement of computation times. Extraction of information on cerebral microvas
Time frame: From enrollment to the end of the MRI exam
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