Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow

Scott Kulp; Mingchen Gao; Shaoting Zhang; Zhen Qian; Szilard Voros; Dimitris Metaxas; Leon Axel

doi:10.1007/978-3-642-23623-5_59

Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow

Med Image Comput Comput Assist Interv. 2011;14(Pt 1):468-75. doi: 10.1007/978-3-642-23623-5_59.

Authors

Scott Kulp¹, Mingchen Gao, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris Metaxas, Leon Axel

Affiliation

¹ CBIM Center, Rutgers University, Piscataway, NJ 08550, USA.

PMID: 22003651
DOI: 10.1007/978-3-642-23623-5_59

Abstract

In this paper, we present a method to simulate and visualize blood flow through the human heart, using the reconstructed 4D motion of the endocardial surface of the left ventricle as boundary conditions. The reconstruction captures the motion of the full 3D surfaces of the complex features, such as the papillary muscles and the ventricular trabeculae. We use visualizations of the flow field to view the interactions between the blood and the trabeculae in far more detail than has been achieved previously, which promises to give a better understanding of cardiac flow. Finally, we use our simulation results to compare the blood flow within one healthy heart and two diseased hearts.

Publication types

Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Algorithms
Blood Flow Velocity
Computer Simulation
Diastole
Heart / diagnostic imaging
Heart / physiology
Heart Ventricles / pathology
Humans
Image Processing, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods
Myocardium / pathology*
Reproducibility of Results
Systole
Tomography, X-Ray Computed / methods*