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Image Based Modeling | Visualization | Simulation | Estimation Image Based Modeling In biology and medicine, the problem of using images to derive geometric models is ubiquitous. Biomedical scientists need to quickly build geometric and statistical representations from collections of images. Geometric models are useful in a staggering range of biomedical applications, from patient-specific treatment decisions for orthopaedic surgery and cardiology to basic scientific questions about blood flow and degenerative disease. Generating discrete, geometric representations for subsequent analysis is one of the important challenges in image-based modeling. The Image Based Modeling Research Core focuses on using image data to construct geometric models to be used for simulation, visualization, and quantitative analysis. Specifically, our focus is on tools for geometrically adaptive and conforming meshes, as well as statistical models of anatomical and biological shapes. At the Center, the work of application scientists is tightly integrated with the research vision. Imaging and scientific computing advances allow for exciting opportunities to use simulation and visualization methods to improve clinical practice. The Center's developments focus on the robustness of imaging tools, in addition to open-source software which researchers may modify to better suit their needs. The Center strives to advance the state of the art through its strategies of image-based modeling, open-source tools, and application-driven development. |
