This proposal describes our plans for the third renew^al ofthe Center for Integrated Biomedical Computing (CIBC), hosted by the Scientific Computing and Imaging (SCI) Institute at the University of Utah. The CIBC is a research resource that produces open-source software tools for biomedical image-based modeling, biomedical simulation and estimation, and the visualization of biomedical data. The software tools created by the Center are supported by a critical mass of research in scientific computing housed within the SCI Institute. These software tools, the research that underlies them, and the driving biological projects and collaborations that motivate their development are unified by a single vision: to develop the role of image-based modeling and analysis in biomedical science and clinical practice. The overarching goal ofthis proposal is to advance the state of practice in biomedical computing and its applications both to biomedical science and to the the translation ofthis science to chnical practice. We seek to achieve this goal by making advanced computation tools, tailored to the specific domains of image-based modeling, simulation, estimation, and visualization, accessible to scientists, engineers, and physicians by releasing readily usable, open-source software. We work closely with these users of our software, providing advice, technical support, workshops, and education to enhance their success with the tools we provide. Our long-term vision is to make scientific computing so useful and user friendly a tool, that it becomes a transparent and ubiquitous aspect of clinical and scientific practice.

Public Health Relevance

Our commitment to empowering researchers through scientific computing is apparent in the nunnber and breadth of the driving biological projects (DBFs) we wish to pursue and in the central role these projects play in all decisions within the Center. Many of our DBFs now have a very clinical focus.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Biotechnology Resource Grants (P41)
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Special Emphasis Panel (ZRG1-BST-J (40))
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Friedman, Fred K
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University of Utah
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Salt Lake City
United States
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Kurugol, Sila; Kose, Kivanc; Park, Brian et al. (2015) Automated delineation of dermal-epidermal junction in reflectance confocal microscopy image stacks of human skin. J Invest Dermatol 135:710-7
Tamm, Georg; Kr├╝ger, Jens (2014) Hybrid Rendering with Scheduling under Uncertainty. IEEE Trans Vis Comput Graph 20:767-80
Sourati, Jamshid; Erdogmus, Deniz; Dy, Jennifer G et al. (2014) Accelerated learning-based interactive image segmentation using pairwise constraints. IEEE Trans Image Process 23:3057-70
Milanic, Matija; Jazbinsek, Vojko; Macleod, Robert S et al. (2014) Assessment of regularization techniques for electrocardiographic imaging. J Electrocardiol 47:20-8
Blauer, Joshua J E; Swenson, Darrell; Higuchi, Koji et al. (2014) Sensitivity and specificity of substrate mapping: an in silico framework for the evaluation of electroanatomical substrate mapping strategies. J Cardiovasc Electrophysiol 25:774-80
Gur, Yaniv; Johnson, Chris R (2014) GENERALIZED HARDI INVARIANTS BY METHOD OF TENSOR CONTRACTION. Proc IEEE Int Symp Biomed Imaging 2014:718-724
Erem, Burak; van Dam, Peter M; Brooks, Dana H (2014) Identifying model inaccuracies and solution uncertainties in noninvasive activation-based imaging of cardiac excitation using convex relaxation. IEEE Trans Med Imaging 33:902-12
McGann, Christopher; Akoum, Nazem; Patel, Amit et al. (2014) Atrial fibrillation ablation outcome is predicted by left atrial remodeling on MRI. Circ Arrhythm Electrophysiol 7:23-30
Rampersad, Sumientra M; Janssen, Arno M; Lucka, Felix et al. (2014) Simulating transcranial direct current stimulation with a detailed anisotropic human head model. IEEE Trans Neural Syst Rehabil Eng 22:441-52
Hao, Xiang; Zygmunt, Kristen; Whitaker, Ross T et al. (2014) Improved segmentation of white matter tracts with adaptive Riemannian metrics. Med Image Anal 18:161-75

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