We propose to establish the """"""""Center for Integrative Biomedical Computing"""""""" and, through its work, to address important biomedical research problems in bioelectric fields, imaged-based anatomy, multi-scale tissue modeling and simulation, and scientific visualization. We will accomplish this by utilizing state-of-the-art computational techniques and innovative, well-engineered software, which, used in combination, will significantly advance biomedical computing research. For the renewal of this NCRR center, we propose an exciting combination of research and development aims built upon the successes of the previous investments and driven by compelling new biomedical problems. The proposed NCRR Center will expand in ways that will build on and enhance the strengths of the existing center. We will continue to develop integrated problemsolving environments that make advanced computational tools available to biomedical scientists. We will also continue to pursue advanced research in technical and biophysical approaches to bioelectric field problems in cardiology and neurology. With our interdisciplinary faculty members, we will continue to educate and train researchers to engage in biomedical computing, imaging, and visualization. In response to increasing requests from the field, we have greatly extended the number of Center collaborators. We will manage these collaborations through a """"""""life cycle"""""""", beginning with initial discussions and evaluation of potential and proceeding through fruitful scientific and technological collaborations to, in some cases, separately funded research. We have assembled a team of first-rate bioengineers and computer scientists with proven track records in performing world-class research in biomedical computing, visualization, and imaging as well as in biomedical science. This team will bring to the Center the necessary experience and expertise to continue to create robust software and deliver it to the biomedical research community. We are confident that the proposed Center will be a significant force in taking biomedical computing, imaging, and visualization to new levels of sophistication and to widespread use.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
3P41RR012553-11S1
Application #
7931417
Study Section
Special Emphasis Panel (ZRG1-SBIB-L (40))
Program Officer
Brazhnik, Olga
Project Start
2009-09-24
Project End
2010-09-23
Budget Start
2009-09-24
Budget End
2010-09-23
Support Year
11
Fiscal Year
2009
Total Cost
$642,303
Indirect Cost
Name
University of Utah
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
009095365
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

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