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CIBC

The overall goals of the CIBC are the creation and dissemination of biomedical technology, algorithms, and software for the mathematical modeling, simulation, and visualization of physiological phenomenon applied to problems in clinical and biological research and applications. The Center provides unique computational resources supporting clinical and biological researchers both in fundamental breakthroughs in basic biomedicine and in application of new science and technology to health care. The Center develops software (SCIRun, BioPSE, Seg3D, BioImage, BioTensor, BioFEM and soon BioMesh3D and ImageView3D), distributes it freely to the biomedical community, carries out training, and supports formal and informal collaborators. The Center also carries out technical development and original research in several related areas, including three-dimensional image analysis, scientific visualization, biomedical simulation, bioelectric field problems, problem-solving environments, and software engineering. The CIBC has a strong, ongoing emphasis on software simulation of bioelectric fields, with clinically oriented collaborations in cardiac defibrillation and the diagnosis/treatment of epilepsy. In addition, the CIBC has expanded in recent years to include applications of statistical shape analysis and three-dimensional visualization to mouse genetics and neuroimaging and applications of image and geometry processing to cell biology.

Date: 03/03/09
Size: 194 items (214 items total)
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cortexClipInteractive Level-Set Segmentation and Volume Rendering of the Cerebral Cortex from MRI Data

cortexClipInteractive Level-Set Segmentation and Volume Rendering of the Cerebral Cortex from MRI Data

GPU based level-set methods used for segmentation of brain MRI data

GPU based level-set methods used for segmentation of brain MRI data

GPU based level-set methods used for segmentation of brain tumor in MRI data

GPU based level-set methods used for segmentation of brain tumor in MRI data

GPU based level-set methods used for segmentation of liver vasculature in mouse thorax MRI data

GPU based level-set methods used for segmentation of liver vasculature in mouse thorax MRI data

 
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