Modeling Left Ventricular Blood Flow Using Smoothed Particle Hydrodynamics

• Type of Material: Article
• Authors: Andres Caballero, Georgia Institute of Technology; Wenbin Mao, Georgia Institute of Technology; Liang Liang, Georgia Institute of Technology; John Oshinski, Emory University; Charles Primiano, Hartford Hospital; Raymond McKay, Hartford Hospital; Susheel Kodali, Columbia University; Wei Sun, Georgia Institute of Technology
• Language: English
• Date: 2017-12-01
• Publisher: Springer (part of Springer Nature): Springer Open Choice Hybrid Journals
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2017, Biomedical Engineering Society.
• Final Published Version (URL): http://dx.doi.org/10.1007/s13239-017-0324-z
• Title of Journal or Parent Work: Cardiovascular Engineering and Technology
• ISSN: 1869-408X
• Volume: 8
• Issue: 4
• Start Page: 465
• End Page: 479
• Grant/Funding Information: Andrés Caballero is in part supported by a Fulbright-Colciencias fellowship.; Wenbin Mao and Liang Liang are in part supported by American Heart Association post-doctoral fellowships, 15POST25910002 and 16POST30210003, respectively.; John Oshinski receives research grant support from Siemens Medical Solutions.; This work was supported in part by the NIH HL104080 and HL127570 grants.
• Keywords: NUMERICAL-SIMULATION; COMPUTATIONAL FLUID-DYNAMICS; Hemodynamics; Cardiac & Cardiovascular Systems; 4D FLOW; Engineering; Science & Technology; UNSTEADY-FLOW; Life Sciences & Biomedicine; Cardiac magnetic resonance; VISCOUS FLOWS; WHOLE HEART; Engineering, Biomedical; Technology; MAGNETIC-RESONANCE; SPH METHOD; Smoothed particle hydrodynamics; Cardiovascular System & Cardiology; Computational fluid dynamics; VIVO MRI DATA; LEFT-HEART; Left ventricle
• Research Categories: Health Sciences, Epidemiology; Engineering, Biomedical

Abstract

This study aims to investigate the capability of smoothed particle hydrodynamics (SPH), a fully Lagrangian mesh-free method, to simulate the bulk blood flow dynamics in two realistic left ventricular (LV) models. Three dimensional geometries and motion of the LV, proximal left atrium and aortic root are extracted from cardiac magnetic resonance imaging and multi-slice computed tomography imaging data. SPH simulation results are analyzed and compared with those obtained using a traditional finite volume-based numerical method, and to in vivo phase contrast magnetic resonance imaging and echocardiography data, in terms of the large-scale blood flow phenomena usually clinically measured. A quantitative comparison of the velocity fields and global flow parameters between the in silico models and the in vivo data shows a reasonable agreement, given the inherent uncertainties and limitations in the modeling and imaging techniques. The results indicate the capability of SPH as a promising tool for predicting clinically relevant large-scale LV flow information.