The main objective is to optimize MRI acquisition and image post-processing protocols in order to define the best compromise between short scan time and image quality (contrast between different tissues, spatial and temporal resolutions) high enough to accurately measure morphologic, hemodynamic and structural aortic biomarkers.

This Magnetic Resonance imaging study of the thoracic aorta aims to: 1- enhance patient comfort during the examination, shorten appointment waiting times and overall reduce MRI cost, and 2- provide a reliable diagnosis and risk assessment of aorta-related diseases occurring in hypertension, obesity or diabetes but also throughout normal aging.

The impact of MRI acquisition innovations on the measurement of biomarkers that are extracted from image post-processing software and therein on disease characterization (normal values, severity thresholds, etc.) must be systematically reevaluated. More specifically, the investigators design image acquisition and automated image processing methods to reduce operator variability. This study will optimize thoracic aortic MRI acquisition sequences for the quantification of diagnostic-assisting biomarkers in a healthy population.

Inclusion Criteria:

• Subject aged between 20 and 35 or between 50 and 70 (limits included)
• BMI < 30 kg/m²
• Asymptomatic subject
• Having given informed, free and written consent
• Affiliated to a French social security scheme or entitled

Exclusion Criteria:

• Contraindication to MRI (claustrophobia, presence of a metallic foreign body)
• Pregnant or breastfeeding woman
• Known cardiac pathology
• Personal cardiovascular history
• Person deprived of liberty by court decision or benefiting from legal protection (under guardianship or curatorship)
• Abuse of alcohol or narcotics
• Subject under AME
• Participation in another interventional research involving the human person or being in the exclusion period at the end of a previous research involving the human person

Data are available upon reasonable request. The procedures carried out with the French data privacy authority (CNIL, Commission Nationale de l'Informatique et des Libertés) do not provide for the transmission of the database, nor do the information and consent documents signed by the patients.

Consultation by the editorial board or interested researchers of individual participant data that underlie the results reported in the article after deidentification may nevertheless be considered, subject to prior determination of the terms and conditions of such consultation and in respect for compliance with the applicable regulations.

Beginning 3 months and ending 3 years following article publication. Requests out of these time frame can also be submitted to the sponsor

Researchers who provide a methodologically sound proposal