MRI Clinical Trial
— OSV-IRMOfficial title:
OSV-IRM - Volunteer MRI Sequence Optimization
Optimization of magnetic resonance imaging (MRI) protocols on healthy volunteers and voluntary patients. In MRI, a large number of technical parameters (sequence, parameters in sequence, antenna, reconstruction method, etc.) can be changed to optimize the diagnostic quality of the exam. Some optimizations can be performed on participants healthy volunteers, others need to be carried out on images pathological and acquired in voluntary patients.
Status | Recruiting |
Enrollment | 600 |
Est. completion date | December 2027 |
Est. primary completion date | November 2026 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 6 Years and older |
Eligibility | Inclusion Criteria: - Criteria common to all participants: - Minor or major subject - Affiliated, himself or through his parents if he is a minor, to a a social security scheme - Having given their free, informed and written consent, and/or which the free, informed and written consent of the holder(s) parental authority has been obtained for minors Specific criteria for healthy volunteers: o No medical or surgical history related to the anatomical area(s) scanned Specific criteria for voluntary patients: o Indication for an MRI exam as part of its management Exclusion Criteria: - - Contraindication to an MRI (pacemaker or pacemaker, neurostimulator, intra-orbital metal body, vascular clip ferromagnetic) - Pregnancy - Legal protection measure for adults in progress (safeguard of justice, guardianship, curatorship) or subject deprived of liberty |
Country | Name | City | State |
---|---|---|---|
France | CHU Rennes | Rennes |
Lead Sponsor | Collaborator |
---|---|
Rennes University Hospital |
France,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Quality of MRI signal | The quality of the images, maps or signals collected will be compared to standard acquisitions. This evaluation will be done by statistical comparison of visual qualitative criteria by expert radiologists or on quantitative criteria drawn from analyzes computing data obtained by processing experts images (signal-to-noise ratio, contrast-to-noise ratio, blur level, mutual information, co-location of regions highlighted by different techniques, etc.). | 15 days |
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