Biomechanical Characterisation of Thoracic Ascending Aorta with Preserved Pre-Stresses.
Shaiv ParikhKevin M MoermanMitch J F G RamaekersSimon SchallaElham BidarTammo DelhaasKoen D ReesinkWouter HubertsPublished in: Bioengineering (Basel, Switzerland) (2023)
Mechanical properties of an aneurysmatic thoracic aorta are potential markers of future growth and remodelling and can help to estimate the risk of rupture. Aortic geometries obtained from routine medical imaging do not display wall stress distribution and mechanical properties. Mechanical properties for a given vessel may be determined from medical images at different physiological pressures using inverse finite element analysis. However, without considering pre-stresses, the estimation of mechanical properties will lack accuracy. In the present paper, we propose and evaluate a mechanical parameter identification technique, which recovers pre-stresses by determining the zero-pressure configuration of the aortic geometry. We first validated the method on a cylindrical geometry and subsequently applied it to a realistic aortic geometry. The verification of the assessed parameters was performed using synthetically generated reference data for both geometries. The method was able to estimate the true mechanical properties with an accuracy ranging from 98% to 99%.
Keyphrases
- aortic valve
- pulmonary artery
- aortic dissection
- finite element analysis
- coronary artery
- pulmonary hypertension
- pulmonary arterial hypertension
- healthcare
- spinal cord
- left ventricular
- high resolution
- electronic health record
- deep learning
- heart failure
- big data
- clinical practice
- convolutional neural network
- atrial fibrillation
- risk assessment
- spinal cord injury
- artificial intelligence
- fluorescence imaging