title: A Reconstruction Method of Blood Flow Velocity in Left Ventricle Using Color Flow Ultrasound.
abstract: 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.
authors.affiliation: Department of Computational Science and Engineering, Yonsei University, Seoul 120-749, Republic of Korea.
authors.forename: Jaeseong
authors.initials: J
authors.lastname: Jang
authors.affiliation: Division of Computational Mathematics, National Institute for Mathematical Sciences, Daejeon 305-811, Republic of Korea.
authors.forename: Chi Young
authors.initials: CY
authors.lastname: Ahn
authors.affiliation: Division of Computational Mathematics, National Institute for Mathematical Sciences, Daejeon 305-811, Republic of Korea.
authors.forename: Kiwan
authors.initials: K
authors.lastname: Jeon
authors.affiliation: School of Mechanical Engineering, Yonsei University, Seoul 120-749, Republic of Korea.
authors.forename: Jung
authors.initials: J
authors.lastname: Heo
authors.affiliation: School of Mechanical Engineering, Yonsei University, Seoul 120-749, Republic of Korea.
authors.forename: DongHak
authors.initials: D
authors.lastname: Lee
authors.affiliation: School of Mechanical Engineering, Yonsei University, Seoul 120-749, Republic of Korea.
authors.forename: Chulmin
authors.identifier: 0000-0002-1812-2976
authors.initials: C
authors.lastname: Joo
authors.affiliation: Department of Computational Science and Engineering, Yonsei University, Seoul 120-749, Republic of Korea.
authors.forename: Jung-il
authors.initials: JI
authors.lastname: Choi
authors.affiliation: Department of Computational Science and Engineering, Yonsei University, Seoul 120-749, Republic of Korea.
authors.forename: Jin Keun
authors.identifier: 0000-0002-6275-4938
authors.initials: JK
authors.lastname: Seo
mesh_terms: D001783:Blood Flow Velocity / Q000502:physiology*; D019295:Computational Biology; D003198:Computer Simulation; D018618:Echocardiography, Doppler, Color / Q000706:statistics & numerical data*; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008955:Models, Cardiovascular; D015233:Models, Statistical; D019047:Phantoms, Imaging; D016277:Ventricular Function, Left / Q000502:physiology