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Large Scale Biomedical Visualization Chris Johnson Scientific Computing and Imaging Institute University of Utah SCI Institute Faculty Image-Based Modeling, Simulation, and Visualization Image Processing Image & Data Acquisition


  1. Large Scale Biomedical Visualization Chris Johnson Scientific Computing and Imaging Institute University of Utah

  2. SCI Institute Faculty

  3. Image-Based Modeling, Simulation, and Visualization Image Processing Image & Data Acquisition Integrated Software Tools Lab/Clinic Geometry Processing Modeling, Simulation & Validation Visualization

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  6. Simulate Stresses in the Articular Cartilage of Normal and Dysplastic Hips During Activities of Daily Living Hip Biomechanics Pipeline: • CT Scan • Segmentation • Mesh Generation • FE Simulation Normal Hip Pressures due to Walking • Visualization and Evaluation Scientific Computing and Imaging Institute, University of Utah

  7. Personalized Medicine: Cardiac Defibrillation Image-Based Modeling, Simulation, and Visualization Pipeline

  8. Defibrillation Simulation Results Scientific Computing and Imaging Institute, University of Utah

  9. Atrial Fibrillation Ablation Nassir Marrouche, M.D. Director, Comprehensive Arrhythmia Research and Management Center: CARMA

  10. Genetics Often, scientific breakthroughs stem from an enabling new technology J.T. Johnson III, M.S. Hansen, I. Wu, L.J. Healy, C.R. Johnson, G.M. Jones, M.R. Capecchi, C. Keller. “Virtual Histology of Transgenic Mouse Embryos for High-Throughput Phenotyping,” In PLoS Genetics, Vol. 2, No. 1, pp. 471--477. April, 2006. Scientific Computing and Imaging Institute, University of Utah

  11. Shape, Genetics, and Evolution Evolution of the Cranial Base Scientific Computing and Imaging Institute, University of Utah

  12. Shape, Genetics, and Cancer Brain Tumor Progression Shape Change: Preneoplastic, Invasion, Biomarker of Rx Image Courtesy of Charles Keller Scientific Computing and Imaging Institute, University of Utah

  13. Relating Anatomical Shape to Neuropsychological Measures ! Given a Large collection of anatomical images of subjects with detailed Neuropsychological assessments how does one relate anatomical variation to Neuropsychological variables. ! Driving problem: The ADNI database currently has ~900 subjects each with detailed Neuropsychological evaluations. ! Extract and identify shape deformation patterns in brain anatomy that relate to observed clinical scores depicting cognitive abilities. Scientific Computing and Imaging Institute, University of Utah

  14. Changes in anatomy associated with cognitive decline in Mild Cognitive Impairment (MCI) Scientific Computing and Imaging Institute, University of Utah

  15. Statistics of Shape, Connectivity, and Function Computational Statistics Anatomical shape averaging in Nonlinear Spaces and variability Combined PET + MRI analysis Diffusion Tensor Image Analysis Alzheimer’s disease project Autism project

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