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JPEG Image Compression All of the Gory Details

JPEG Image Compression All of the Gory Details. Biological Imaging. Ross Whitaker University of Utah. Clinical Imaging. Paradigm Diagnosis/prognosis (individuals) Radiologists/experts Trends More/larger datasets (+3D) Surgery/planning Quantification. Biological Imaging.

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JPEG Image Compression All of the Gory Details

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  1. JPEG Image CompressionAll of the Gory Details

  2. Biological Imaging Ross Whitaker University of Utah

  3. Clinical Imaging • Paradigm • Diagnosis/prognosis (individuals) • Radiologists/experts • Trends • More/larger datasets (+3D) • Surgery/planning • Quantification

  4. Biological Imaging • Understanding organisms/populations • Growth–explosive • Trends: instrumentation + science • Very large datasets • E.g. terabytes • Acquisition times • Paradigm • Quantification/exploration • Desperate need of tools

  5. Biological Imaging Examples • Mouse phenotyping – M. Capecchi • Retinal mapping – R. Marc

  6. The Capecchi Laboratory • Knock-out mouse • Mouse as test tube for genetics • Understanding the effects of particular genes • Mutations to study mouse-bat relationships • Skeleton

  7. Mouse Phenotyping • State of the art • Dozens of animals • Dissection, etc. • Future • Hundreds/thousands of animals • 3D imaging (MRI,CT)

  8. Shape & Deformation • Atlas/image registration • Statistics of shape/deformation • Fundamental questions • Visualization • Algorithm development and tuning • End user • Imaging • Reconstruction • Image processing (denoising) • Atlases/Prototypes • Image Registration • Scale of problem • Deformation vs articulation • Modeling • Representing variability • Structures or pixels • Segmentation • User interaction/visualization • Automation–Computer Vision Atlas/protoype Mutants Images Geometric/ Statistical Analysis Mutants Images Image-Based PhenotypingA Significant Engineering Challenge

  9. Marc Laboratory

  10. 3D tracking • Mosaicing • Distortion and position • Very large images (100mps) • Filtering and segmentation • Noise, texture Retinal Mapping

  11. Visualization in Biological Imaging • As a visual front end for other tools • User assisted analysis • Exploration • Heterogeneous data • Large databases • Interpretation • Statistics (high dimensions) • Anatomical variability

  12. Done

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