2. JPEG Image Compression All of the Gory Details

3. Biological Imaging Ross Whitaker University of Utah

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

5. 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

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

7. 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

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

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

10. Marc Laboratory

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

12. 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

13. Done