title: Computational hemodynamic modeling based on transesophageal echocardiographic imaging.
abstract: We address the problem of hemodynamic computational modeling in the left heart complex. The novelty of our approach lies in the exploitation of prior patient specific data resulting from image analysis of Transesophageal Echocardiographic Imagery (TEE). Kinematic and anatomical information in the form of left heart chambers and valve boundaries is recovered through a level-set-based user-in-the-loop segmentation on 2D TEE. The resulting boundaries in the TEE sequence are then interpolated to prescribe the motion displacements in a computational fluid dynamics (CFD) model implemented using Finite Element Modeling (FEM) applied on Arbitrary Lagrangian-Eulerian (ALE) meshes. Experimental results are presented.
authors: Johns Hopkins University Applied Physics Lab, USA. chad.sprouse@jhuapl.edu
authors: C
authors: C
authors: Sprouse
authors: D
authors: D
authors: Yuh
authors: T
authors: T
authors: Abraham
authors: P
authors: P
authors: Burlina
mesh_terms: D000465:Algorithms; D001696:Biomechanical Phenomena; D003198:Computer Simulation; D017548:Echocardiography, Transesophageal / Q000295:instrumentation* / Q000379:methods; D020342:Finite Element Analysis; D006321:Heart / Q000033:anatomy & histology / Q000502:physiology; D006352:Heart Ventricles / Q000473:pathology; D006439:Hemodynamics; D006801:Humans; D007700:Kinetics; D008490:Medical Informatics / Q000379:methods*; D008953:Models, Anatomic; D008955:Models, Cardiovascular; D015233:Models, Statistical