Feasibility of Wave Intensity Analysis from 4D Cardiovascular Magnetic Resonance Imaging Data.
Froso SophocleousKiril DelchevEstefania De GarateMark C K HamiltonMassimo CaputoChiara Bucciarelli-DucciGiovanni BiglinoPublished in: Bioengineering (Basel, Switzerland) (2023)
Congenital heart defects (CHD) introduce haemodynamic changes; e.g., bicuspid aortic valve (BAV) presents a turbulent helical flow, which activates aortic pathological processes. Flow quantification is crucial for diagnostics and to plan corrective strategies. Multiple imaging modalities exist, with phase contrast magnetic resonance imaging (PC-MRI) being the current gold standard; however, multiple predetermined site measurements may be required, while 4D MRI allows for measurements of area (A) and velocity (U) in all spatial dimensions, acquiring a single volume and enabling a retrospective analysis at multiple locations. We assessed the feasibility of gathering hemodynamic insight into aortic hemodynamics by means of wave intensity analysis (WIA) derived from 4D MRI. Data were collected in n = 12 BAV patients and n = 7 healthy controls. Following data acquisition, WIA was successfully derived at three planes (ascending, thoracic and descending aorta) in all cases. The values of wave speed were physiological and, while the small sample limited any clinical interpretation of the results, the study shows the possibility of studying wave travel and wave reflection based on 4D MRI. Below, we demonstrate for the first time the feasibility of deriving wave intensity analysis from 4D flow data and open the door to research applications in different cardiovascular scenarios.
Keyphrases
- magnetic resonance imaging
- aortic valve
- contrast enhanced
- transcatheter aortic valve replacement
- electronic health record
- computed tomography
- diffusion weighted imaging
- aortic stenosis
- pulmonary artery
- big data
- aortic valve replacement
- transcatheter aortic valve implantation
- high intensity
- end stage renal disease
- magnetic resonance
- left ventricular
- newly diagnosed
- coronary artery disease
- machine learning
- peritoneal dialysis
- climate change
- data analysis
- mass spectrometry
- heart failure
- artificial intelligence
- coronary artery
- blood flow
- patient reported outcomes