Chapter title |
Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow.
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Chapter number | 59 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
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Published in |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, January 2011
|
DOI | 10.1007/978-3-642-23623-5_59 |
Pubmed ID | |
Book ISBNs |
978-3-64-223622-8, 978-3-64-223623-5
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Authors |
Scott Kulp, Mingchen Gao, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris Metaxas, Leon Axel, Kulp, Scott, Gao, Mingchen, Zhang, Shaoting, Qian, Zhen, Voros, Szilard, Metaxas, Dimitris, Axel, Leon |
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. |
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Unknown | 1 | 100% |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
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United States | 3 | 6% |
United Kingdom | 2 | 4% |
Unknown | 47 | 90% |
Demographic breakdown
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Student > Ph. D. Student | 16 | 31% |
Researcher | 15 | 29% |
Other | 4 | 8% |
Student > Master | 4 | 8% |
Student > Bachelor | 2 | 4% |
Other | 8 | 15% |
Unknown | 3 | 6% |
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Computer Science | 17 | 33% |
Engineering | 14 | 27% |
Medicine and Dentistry | 6 | 12% |
Mathematics | 4 | 8% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 1 | 2% |
Unknown | 8 | 15% |