Impact of sequence type and field strength (1.5, 3, and 7T) on 4D flow MRI hemodynamic aortic parameters in healthy volunteers.
Stephanie WiesemannSebastian SchmitterAylin DemirMarcel ProthmannCarsten SchwenkeAshish ChawlaFlorian von Knobelsdorff-BrenkenhoffAndreas GreiserNing JinEmilie BollacheMichael MarklJeanette Schulz-MengerPublished in: Magnetic resonance in medicine (2020)
Data from all sequences could be acquired and resulting images showed sufficient quality for further analysis. However, the variability of the measurements of peak velocity, flow volumes, and WSS was higher when comparing field strengths/sequences as the equivalence limits defined by the intraobserver assessments.
Keyphrases
- magnetic resonance imaging
- deep learning
- aortic valve
- contrast enhanced
- electronic health record
- left ventricular
- convolutional neural network
- pulmonary artery
- big data
- optical coherence tomography
- magnetic resonance
- computed tomography
- coronary artery
- genetic diversity
- atrial fibrillation
- pulmonary hypertension
- artificial intelligence