Computational hemodynamic modeling based on transesophageal echocardiographic imaging

C. Sprouse, D. Yuh, T. Abraham, Philippe Burlina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Pages3649-3652
Number of pages4
DOIs
StatePublished - 2009
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: Sep 2 2009Sep 6 2009

Other

Other31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
CountryUnited States
CityMinneapolis, MN
Period9/2/099/6/09

Fingerprint

Imagery (Psychotherapy)
Hemodynamics
Imaging techniques
Image analysis
Dynamic models
Computational fluid dynamics
Kinematics
Heart Valves
Hydrodynamics
Biomechanical Phenomena

ASJC Scopus subject areas

  • Cell Biology
  • Developmental Biology
  • Biomedical Engineering
  • Medicine(all)

Cite this

Sprouse, C., Yuh, D., Abraham, T., & Burlina, P. (2009). Computational hemodynamic modeling based on transesophageal echocardiographic imaging. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 3649-3652). [5332519] https://doi.org/10.1109/IEMBS.2009.5332519

Computational hemodynamic modeling based on transesophageal echocardiographic imaging. / Sprouse, C.; Yuh, D.; Abraham, T.; Burlina, Philippe.

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 3649-3652 5332519.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sprouse, C, Yuh, D, Abraham, T & Burlina, P 2009, Computational hemodynamic modeling based on transesophageal echocardiographic imaging. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5332519, pp. 3649-3652, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 9/2/09. https://doi.org/10.1109/IEMBS.2009.5332519
Sprouse C, Yuh D, Abraham T, Burlina P. Computational hemodynamic modeling based on transesophageal echocardiographic imaging. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 3649-3652. 5332519 https://doi.org/10.1109/IEMBS.2009.5332519
Sprouse, C. ; Yuh, D. ; Abraham, T. ; Burlina, Philippe. / Computational hemodynamic modeling based on transesophageal echocardiographic imaging. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. pp. 3649-3652
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