This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The overall objective is to develop and deploy novel, web accessible, cluster-enabled, grid- aware software and data resources that allow investigators in biomechanics, biophysics and cardiovascular physiology to perform numerical experiments that are: structurally integrated from sub-cellular to whole organ scales;functionally integrated across interacting biological processes;and that integrate experimental data from a variety of sources, scales and modalities. We will explore and advance the synthesis of these integrative analyses so that investigators can develop computational models that integrate theory with empirical data both functionally and structurally to investigate experimentally motivated biomedical hypotheses. To achieve these goals, we propose to interact closely with the visualization, grid computing and data integration core research activities of the resource. To focus these developments on scientifically important questions, we have developed collaborative projects with investigators who are applying experimental and computational approaches to understand the cellular and molecular mechanisms of physiological and pathophysiological processes that are dependent on the three-dimensional anatomy of the whole heart for their manifestations in vivo. The primary application of this core will continue to be computational models of cardiac electromechanical properties that integrate from single myocyte biophysics to whole heart physiology and are validated with experimental measurements in well characterized animal models. Whereas the data components of these multiscale models and their experimental validation are specific to the heart, the computational methods and software are more general. Therefore, the aims of the renewal and the targeted users of the new tools under development extend beyond the biophysics of the heart to other biomedical applications including soft tissue biomechanics, electrophysiology, systems biology, and diagnostic medical imaging.
Aim 1 : Interactive High-Performance Modeling Environment for Dynamic Authoring of Integrative Multi-Scale Models Aim 2: Multi-Scale Model Repository and Sharing Framework Aim 3: Software for Patient-Specific Diagnosis and Treatment of Heart Disease Supplemental Aim D Expediting Patient Specific Modeling and Continuity Development: Capitalizing on new NIH investments since NBCR renewal submission to help build an emerging community or researchers D1. Expedite the development of patient-specific multi-scale modeling software proposed in Aim 3 D2. Develop a database of de-identified patient-specific models using the new tools and newly available clinical data, and to accelerate the development and release of the multi- scale model repository and sharing framework proposed in Aim 2 D3. Harness GPU technology to speed up key codes in Continuity

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR008605-18
Application #
8362788
Study Section
Special Emphasis Panel (ZRG1-SBIB-C (40))
Project Start
2011-05-01
Project End
2012-04-30
Budget Start
2011-05-01
Budget End
2012-04-30
Support Year
18
Fiscal Year
2011
Total Cost
$299,904
Indirect Cost
Name
University of California San Diego
Department
Anatomy/Cell Biology
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Pantoja, Joe Luis; Morgan, Ashley E; Grossi, Eugene A et al. (2017) Undersized Mitral Annuloplasty Increases Strain in the Proximal Lateral Left Ventricular Wall. Ann Thorac Surg 103:820-827
Morgan, Ashley E; Wozniak, Curtis J; Gulati, Sarthak et al. (2017) Association of Uneven MitraClip Application and Leaflet Stress in a Finite Element Model. JAMA Surg 152:111-114
Morgan, Ashley E; Pantoja, Joe L; Grossi, Eugene A et al. (2016) Neochord placement versus triangular resection in mitral valve repair: A finite element model. J Surg Res 206:98-105
Purvine, Emilie; Monson, Kyle; Jurrus, Elizabeth et al. (2016) Energy Minimization of Discrete Protein Titration State Models Using Graph Theory. J Phys Chem B 120:8354-60
Bucero, Marta Abril; Bajaj, Chandrajit; Mourrain, Bernard (2016) On the construction of general cubature formula by flat extensions. Linear Algebra Appl 502:104-125
Ebeida, Mohamed S; Rushdi, Ahmad A; Awad, Muhammad A et al. (2016) Disk Density Tuning of a Maximal Random Packing. Comput Graph Forum 35:259-269
Yang, Pei-Chi; Boras, Britton W; Jeng, Mao-Tsuen et al. (2016) A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation. PLoS Comput Biol 12:e1005005
Watson, Shana R; Liu, Piaomu; Peña, Edsel A et al. (2016) Comparison of Aortic Collagen Fiber Angle Distribution in Mouse Models of Atherosclerosis Using Second-Harmonic Generation (SHG) Microscopy. Microsc Microanal 22:55-62
Ge, Liang; Wu, Yife; Soleimani, Mehrdad et al. (2016) Moderate Ischemic Mitral Regurgitation After Posterolateral Myocardial Infarction in Sheep Alters Left Ventricular Shear but Not Normal Strain in the Infarct and Infarct Borderzone. Ann Thorac Surg 101:1691-9
Morgan, Ashley E; Pantoja, Joe Luis; Weinsaft, Jonathan et al. (2016) Finite Element Modeling of Mitral Valve Repair. J Biomech Eng 138:021009

Showing the most recent 10 out of 270 publications