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Advances in Biomedical Image Processing: Techniques and Applications

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82 diapositives · 993 Views · Dec 01, 2014

This comprehensive overview highlights the state-of-the-art advancements in biomedical image processing, focusing on techniques used in the evaluation and treatment of scaphoid bones. It covers key steps such as incision marking, fracture exposure, and screw insertion, supported by X-ray analyses and 3D modeling solutions. Challenges like time and cost factors are discussed alongside innovative solutions that enhance diagnostic accuracy. The integration of various imaging modalities, including CT and MRI scans, is emphasized for improved visualization and clinical applications in biomedical research.

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  1. 1500 ||||||||||||||||||||||||||||||||| 2003 Biomedical Image Processing The State of the Art Joerg Meyer jmeyer@uci.edu December 1, 2014

  2. Biomedical Image Processing

  3. Biomedical Image Processing

  4. (Gundelach Tube, 1898 – 1905) Oak Ridge Associated Universities Health PhysicsInstrumentation Museum Biomedical Image Processing X-Ray (Eberhart’s Manual of High Frequncy Currents, Ch. 10, 1911)

  5. Biomedical Image Processing Week 0 Week 4

  6. Biomedical Image Processing Scaphoid Bone Week 0 Week 4

  7. Biomedical Image Processing Step 1: Incision Marking

  8. Biomedical Image Processing Step 2: Exposure of Fracture Line

  9. Biomedical Image Processing Step 3: Screw Insertion Site

  10. Biomedical Image Processing Before 2 months postop (Images courtesy of: Electronic Textbook of Hand Surgery, http://www.eatonhand.com) Step 4: X-Ray

  11. Biomedical Image Processing Portable System High FrequencyX-Ray Tube (Eberhart’s Manual of High Frequncy Currents, Chap. 10, 1911)

  12. Biomedical Image Processing Scaphoids (1mm) MagneVu 1000(MRI)

  13. Biomedical Image Processing

  14. Biomedical Image Processing • Problems: • Time • Cost factor • Solution: • Correlate X-ray images with 3-D models • Database (typical bones)

  15. Biomedical Image Processing Scaphoid Bones Various shapes and sizes (Zimmer, 1968)

  16. Biomedical Image Processing Scaphoid Bone Fractures Classification (Herbert)

  17. Biomedical Image Processing A B A - C: Scaphoid view 1 - with forearm pronated 45deg. to view profile of scaphoid & STT joint D - Scaphoid view 2 (ulnar oblique view) showing radioscaphoid joint (from Rockwood & Green) C D

  18. Biomedical Image Processing • Solution: • Superimpose radiographic scan and 3-D model • Select best model from database

  19. Biomedical Image Processing • General Question: • How to combine different modalities?

  20. Visible Human (CT, frozen) Joseph Paul Jernigan

  21. Visible Human (CT, frozen) Slice 1125

  22. Visible Human (MRI) Slice 1125

  23. Visible Human (RGB color) Slice 1125

  24. Visible Human (RGB color)

  25. Visible Human (3-D Reconstruction)

  26. CT Scanner

  27. CT Scanner

  28. CT Scanner

  29. CT Scanner

  30. CT Scanner

  31. CT Scanner

  32. CT Scanner

  33. CT Scanner

  34. CT Scanner

  35. CT Scanner

  36. CT Scanner

  37. Image Acquisition

  38. CT Scanner

  39. Image Acquisition

  40. Image Acquisition

  41. Image Acquisition

  42. Image Acquisition

  43. Image Acquisition

  44. Image Acquisition Principle of a CT Scanner X-Ray Source X-Ray Source Rotation Object Translation Object Detector Detector a) Translation b) Rotation

  45. Image Acquisition Principle of an MRI Scanner a) Random Spin b) directional magnetic field

  46. Image Acquisition Principle of an MRI Scanner a) Directional Puls (orthogonal) b) Relaxation

  47. Image Acquisition

  48. Rhesus Monkey Brain • High-resolution large-scale image data RGB image series (real-color, dyed), 5037 x 3871 x 1400, 76 GB (data courtesy of Edward G. Jones, Center for Neuroscience, UC Davis) • Resolution: 2666dpi • Pixel spacing: 9 mm • Enables zoomingdown to the cell level. • Total data size:76 GB

  49. Image Acquisition

  50. 3-D Reconstruction