A Reconstruction Method of Blood Flow Velocity in Left Ventricle Using Color Flow Ultrasound.
Jaeseong JangChi Young AhnKiwan JeonJung HeoDongHak LeeChulmin JooJung-il ChoiJin Keun SeoPublished in: Computational and mathematical methods in medicine (2015)
Vortex flow imaging is a relatively new medical imaging method for the dynamic visualization of intracardiac blood flow, a potentially useful index of cardiac dysfunction. A reconstruction method is proposed here to quantify the distribution of blood flow velocity fields inside the left ventricle from color flow images compiled from ultrasound measurements. In this paper, a 2D incompressible Navier-Stokes equation with a mass source term is proposed to utilize the measurable color flow ultrasound data in a plane along with the moving boundary condition. The proposed model reflects out-of-plane blood flows on the imaging plane through the mass source term. The boundary conditions to solve the system of equations are derived from the dimensions of the ventricle extracted from 2D echocardiography data. The performance of the proposed method is evaluated numerically using synthetic flow data acquired from simulating left ventricle flows. The numerical simulations show the feasibility and potential usefulness of the proposed method of reconstructing the intracardiac flow fields. Of particular note is the finding that the mass source term in the proposed model improves the reconstruction performance.
Keyphrases
- blood flow
- pulmonary hypertension
- pulmonary artery
- high resolution
- magnetic resonance imaging
- mitral valve
- preterm infants
- electronic health record
- healthcare
- left ventricular
- congenital heart disease
- gestational age
- coronary artery
- climate change
- machine learning
- deep learning
- optical coherence tomography
- fluorescence imaging
- convolutional neural network
- pulmonary arterial hypertension
- data analysis
- human health
- contrast enhanced ultrasound
- molecular dynamics
- artificial intelligence