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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

23 Scopus citations

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.

Original language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings
Pages	468-475
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-23623-5_59
State	Published - 2011
Event	14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011 - Toronto, ON, Canada Duration: Sep 18 2011 → Sep 22 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6891 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011
Country/Territory	Canada
City	Toronto, ON
Period	9/18/11 → 9/22/11

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

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

Cite this

Kulp, S., Gao, M., Zhang, S., Qian, Z., Voros, S., Metaxas, D., & Axel, L. (2011). Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings (PART 1 ed., pp. 468-475). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6891 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-23623-5_59

Kulp, Scott ; Gao, Mingchen ; Zhang, Shaoting et al. / Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 1. ed. 2011. pp. 468-475 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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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.",

author = "Scott Kulp and Mingchen Gao and Shaoting Zhang and Zhen Qian and Szilard Voros and Dimitris Metaxas and Leon Axel",

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Kulp, S, Gao, M, Zhang, S, Qian, Z, Voros, S, Metaxas, D & Axel, L 2011, Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow. in Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6891 LNCS, pp. 468-475, 14th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2011, Toronto, ON, Canada, 9/18/11. https://doi.org/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. / Kulp, Scott; Gao, Mingchen; Zhang, Shaoting et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 1. ed. 2011. p. 468-475 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6891 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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Kulp S, Gao M, Zhang S, Qian Z, Voros S, Metaxas D et al. Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 - 14th International Conference, Proceedings. PART 1 ed. 2011. p. 468-475. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). 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

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