Abstract

This TRD addresses an ongoing demand for software that allows biomedical scientists to ef?ciently and effec- tively build geometric and statistical representations of anatomy from collections of images, in order to facilitate image-based biomedical simulation and analysis. Motivated by the needs of the DBPs and the technical strengths of the investigators and the SCI Institute, the focus of this work is on technologies and software for image prepro- cessing and segmentation, geometrically adaptive and conforming meshes, and statistical models of uncertainty and variability in anatomical and biological shapes. This will be achieved by a team of experts in the CIBC's Investigators and Staff, who will interact regularly with Driving Biomedical Projects and collaborators, in order to develop new algorithms and build and release software for general use by the community.

Public Health Relevance

This TRD addresses an ongoing demand for software that allows biomedical scientists to ef?ciently and effectively build geometric and statistical representations of anatomy from collections of images, in order to facilitate image- based biomedical simulation and analysis.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Biotechnology Resource Grants (P41)
Project #
5P41GM103545-20
Application #
9478242
Study Section
Special Emphasis Panel (ZRG1)
Project Start
Project End
Budget Start
2018-05-01
Budget End
2019-04-30
Support Year
20
Fiscal Year
2018
Total Cost
Indirect Cost

  Institution

Name
University of Utah
Department
Type
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112

  Publications

Rodenhauser, Anton; Good, Wilson W; Zenger, Brian et al. (2018) PFEIFER: Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings. J Open Source Softw 3:
Killian, Megan L; Locke, Ryan C; James, Michael G et al. (2018) Novel model for the induction of postnatal murine hip deformity. J Orthop Res :
Tate, Jess; Gillette, Karli; Burton, Brett et al. (2018) Reducing Error in ECG Forward Simulations With Improved Source Sampling. Front Physiol 9:1304
Sefton, Elizabeth M; Gallardo, Mirialys; Kardon, Gabrielle (2018) Developmental origin and morphogenesis of the diaphragm, an essential mammalian muscle. Dev Biol 440:64-73
Yamashita, Kennosuke; Kholmovski, Eugene; Ghafoori, Elyar et al. (2018) Characterization of edema after cryo and radiofrequency ablations based on serial magnetic resonance imaging. J Cardiovasc Electrophysiol :
Cluitmans, Matthijs; Brooks, Dana H; MacLeod, Rob et al. (2018) Validation and Opportunities of Electrocardiographic Imaging: From Technical Achievements to Clinical Applications. Front Physiol 9:1305
Burton, Brett M; Aras, Kedar K; Good, Wilson W et al. (2018) A Framework for Image-Based Modeling of Acute Myocardial Ischemia Using Intramurally Recorded Extracellular Potentials. Ann Biomed Eng 46:1325-1336
Cranford, Jonathan P; O'Hara, Thomas J; Villongco, Christopher T et al. (2018) Efficient Computational Modeling of Human Ventricular Activation and Its Electrocardiographic Representation: A Sensitivity Study. Cardiovasc Eng Technol 9:447-467
Athawale, Tushar; Johnson, Chris R (2018) Probabilistic Asymptotic Decider for Topological Ambiguity Resolution in Level-Set Extraction for Uncertain 2D Data. IEEE Trans Vis Comput Graph :
Good, Wilson W; Erem, Burak; Zenger, Brian et al. (2018) Temporal Performance of Laplacian Eigenmaps and 3D Conduction Velocity in Detecting Ischemic Stress. J Electrocardiol 51:S116-S120

Showing the most recent 10 out of 191 publications