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Advanced Image Processing and Visualization Techniques at The SCI Institute

The SCI Institute focuses on simulation and scientific computing, specializing in problem-solving environments and tools for image analysis and processing. With a strong team of 110 staff and a budget of $10M/year funded by NIH, DOE, NSF, DARPA, and industry partners, the institute drives innovative research. Key projects include neuron tracking and reconstruction, geometric tools for processing biological volumes, and seismic data analysis. Recent scientific achievements involve image denoising, segmentation, dynamic particle systems, and more, all contributing to the advancement of image processing technology.

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Advanced Image Processing and Visualization Techniques at The SCI Institute

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  1. The SCI Institute Simulation & Scientific Computing Problem Solving Enviroments & Tools Visualization Image Analysis

  2. SCI and Image Processing • SCI • ~110 people • $10M/year • NIH, DOE, NSF, DARPA, Industry • 14 faculty • Image processing • ~12 people • $1M/year • NIH, NSF, GE, Exxon-Mobil • 4 Faculty

  3. Image Processing & Projects • NIH: NCRR - CIBC * • Access to ITK tools through SCIRun • Primary collaborators: Cappechi, Ellisman • NIH/NSF: Serial section analysis for neuron tacking & reconstruction * • Marc Laboratory • NSF: Geometric tools for processing biological volumes * • GE: 3D Tomography from C-Arm data * • Exxon-Mobil: Seismic data analysis *ITK as primary development platform

  4. Recent Scientific Results • Nonparametric neighborhood statistics • Image denoising: CVPR 2005, PAMI 2005 • Segmentation: MICCAI 2005, ECCV (pending), MedIA (prep) • Dynamic particle systems for shape sampling • SMI 2005 • Autocalibration of cone-beam data • ISBI (pending) • Riemannian metrics for shape comparisons/statistics • ECCV (pending) • Fast, parallel solutions to the Eikonal equation • Alternatives to fast marching

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