We propose to create the Center for Bioelectric Field Modeling, Simulation, and Visualization within the NIH/NCRR Biomedical Research Technology Program. The need for such a Center lies in the broad and expanding use of computational tools in acquiring, analyzing, and interpreting bioelectric fields. These fields arise from all living organisms and are the physical basis for the discipline of electrophysiology and its clinical implementations, most notably in cardiology and neurology. With the widespread availability of computers for bioelectric field research has come a large demand for software that is specialized for the study of bioelectric phenomena. Compared to other areas of engineering, the pace of development of software for bioelectric field problems has been modest. The technology research and development component of the proposed Center consists of three topics: geometric modeling, numerical simulations, and scientific visualization. Within each topic are specific projects that include the development of novel methods, algorithms, and software for solving bioelectric field problems. This work will be carried out in close collaboration with six experts in a variety of areas in cardiac- and neuro-electrophysiology. Each collaboration contains specific projects that reflect the most pressing computation needs of these scientists. An essential integrating component of the proposed research is a uniform, portable problem-solving software environment that will permit seamless movement of data and application of computation modules. The end product of each of the research and collaborative projects will be software modules for this problem-solving environment. In some cases, the collaborators themselves will create the modules with the help of members of the Center: in other cases, the modules will come from the research and development of the Center. The potential impact of this research resource will extend throughout the electrophysiology research community but also to related disciplines in which scalar-valued fields are measured, analyzed, computer, or visualized. The software tools created by the Center will be made freely available to the scientific community and support in the form of documentation, web-site distribution, and educational seminars carried out by the Center.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR012553-02
Application #
6188581
Study Section
Special Emphasis Panel (ZRG7-SSS-X (04))
Program Officer
Peterson, Bret E
Project Start
1999-09-15
Project End
2002-08-31
Budget Start
2000-09-01
Budget End
2001-08-31
Support Year
2
Fiscal Year
2000
Total Cost
$1,052,629
Indirect Cost
Name
University of Utah
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
Burton, B M; Aras, K K; Good, W W et al. (2018) Image-based modeling of acute myocardial ischemia using experimentally derived ischemic zone source representations. J Electrocardiol 51:725-733
Tong, Xin; Edwards, John; Chen, Chun-Ming et al. (2016) View-Dependent Streamline Deformation and Exploration. IEEE Trans Vis Comput Graph 22:1788-801
Burton, Brett M; Tate, Jess D; Good, Wilson et al. (2016) The Role of Reduced Left Ventricular, Systolic Blood Volumes in ST Segment Potentials Overlying Diseased Tissue of the Ischemic Heart. Comput Cardiol (2010) 43:209-212
Erem, Burak; Martinez Orellana, Ramon; Hyde, Damon E et al. (2016) Extensions to a manifold learning framework for time-series analysis on dynamic manifolds in bioelectric signals. Phys Rev E 93:042218
Raj, Mukund; Mirzargar, Mahsa; Preston, J Samuel et al. (2016) Evaluating Shape Alignment via Ensemble Visualization. IEEE Comput Graph Appl 36:60-71
Gao, Yi; Zhu, Liangjia; Cates, Joshua et al. (2015) A Kalman Filtering Perspective for Multiatlas Segmentation. SIAM J Imaging Sci 8:1007-1029
Gillette, Karli; Tate, Jess; Kindall, Brianna et al. (2015) Generation of Combined-Modality Tetrahedral Meshes. Comput Cardiol (2010) 2015:953-956
Erem, B; Hyde, D E; Peters, J M et al. (2015) COMBINED DELAY AND GRAPH EMBEDDING OF EPILEPTIC DISCHARGES IN EEG REVEALS COMPLEX AND RECURRENT NONLINEAR DYNAMICS. Proc IEEE Int Symp Biomed Imaging 2015:347-350
Coll-Font, J; Erem, B; Štóví?ek, P et al. (2015) A STATISTICAL APPROACH TO INCORPORATE MULTIPLE ECG OR EEG RECORDINGS WITH ARTIFACTUAL VARIABILITY INTO INVERSE SOLUTIONS. Proc IEEE Int Symp Biomed Imaging 2015:1053-1056
Coll-Font, Jaume; Burton, Brett M; Tate, Jess D et al. (2014) New Additions to the Toolkit for Forward/Inverse Problems in Electrocardiography within the SCIRun Problem Solving Environment. Comput Cardiol (2010) 2014:213-216

Showing the most recent 10 out of 149 publications