Stereoscopic Display of Lung PET/CT DICOM Scans using Perspective

1,585 views

Published on

Published in: Education
0 Comments
2 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,585
On SlideShare
0
From Embeds
0
Number of Embeds
8
Actions
Shares
0
Downloads
0
Comments
0
Likes
2
Embeds 0
No embeds

No notes for slide

Stereoscopic Display of Lung PET/CT DICOM Scans using Perspective

  1. 1. Stereoscopic Display of Lung PET/CT DICOM Scans using Perspective 使用透視法於肺部 PET/CT DICOM 影像之三維立體顯示 Student:Yueh-Ju Chen Advisor: Dr. Tang-Kai Yin Institute of Computer Science and Information Engineering National University of Kaohsiung
  2. 2. • Introduction • Motivation • Related Works• Proposed Approach • DICOM Analysis • Stereoscopic• Result• Conclusion and Future Work Institute of Computer Science and Information Engineering 2 National University of Kaohsiung
  3. 3. Introduction Institute of Computer Science and Information Engineering National University of Kaohsiung
  4. 4. Background• Computed tomography: • A medical imaging procedure • Utilizing computer-processed X-rays to produce tomographic images or slices of specific areas of the body• Stereoscopy: • The illusion 3D depth from images on a 2D plane Institute of Computer Science and Information Engineering 4 National University of Kaohsiung
  5. 5. Motivation• 3D effect get popular• Not a new technology• Medical diagnosis: • Improve the efficiency of diagnosis • Surgical simulation • Education training Institute of Computer Science and Information Engineering 5 National University of Kaohsiung
  6. 6. Algorithm Institute of Computer Science and Information Engineering National University of Kaohsiung
  7. 7. Related Works Institute of Computer Science and Information Engineering National University of Kaohsiung
  8. 8. Medical Scans• DICOM file: • File format • DICOM Standards Committee • Widely used by hospitals• Dividing into two parts: • Image • Header (metadata) files Institute of Computer Science and Information Engineering 8 National University of Kaohsiung
  9. 9. Maximum Intensity Projection (MIP)• Volume rendering method• Voxels with maximum intensity• Orthographic projection • Cannot distinguish between left or right, front or back• Detection of lung nodules Institute of Computer Science and Information Engineering 9 National University of Kaohsiung
  10. 10. Standardized Uptake Value (SUV)• Distinguish between malignant lesions and benign tumor• Enhances the 3D nature of nodules • Pulmonary bronchi and vasculature• Cut-off value for malignant lesion is 2.5 Institute of Computer Science and Information Engineering 10 National University of Kaohsiung
  11. 11. Stereoscopic• Illusion of 3D depth from images on a 2D plane• 3D viewer technology: • Anaglyph • Active shutter systems • Polarization systems Institute of Computer Science and Information Engineering 11 National University of Kaohsiung
  12. 12. NVIDIA 3D Vision• Shutter glasses and driver software• Direct3D software• Mainstream consumers and PC gamers• Requirement: • 120 Hz LCD or CRT monitors, DLP-projectors • NVIDIA graphics card Institute of Computer Science and Information Engineering 12 National University of Kaohsiung
  13. 13. Proposed Approach Institute of Computer Science and Information Engineering National University of Kaohsiung
  14. 14. DICOM Analysis Institute of Computer Science and Information Engineering National University of Kaohsiung
  15. 15. Calculation of SUV• Referred to as the dose uptake ratio• Main calculate source: PET DICOM• The related attributed tags: • Rescale Slope tag • Rescale Intercept tag Institute of Computer Science and Information Engineering 15 National University of Kaohsiung
  16. 16. Step 1: Convert Pixel Value to Activity Concentration• Rescale Slope tag are vary for every image slice Institute of Computer Science and Information Engineering 16 National University of Kaohsiung
  17. 17. Step 2: Decay Calibration Factor Institute of Computer Science and Information Engineering 17 National University of Kaohsiung
  18. 18. Step 3: Calculate SUV Institute of Computer Science and Information Engineering 18 National University of Kaohsiung
  19. 19. SUVNumber 147 and 195 slice (a)original PET (b)SUV (c) threshold with 2.5 Institute of Computer Science and Information Engineering National University of Kaohsiung
  20. 20. Non-body Pixels Non-bodyOriginal CT pixels removed Institute of Computer Science and Information Engineering 20 National University of Kaohsiung
  21. 21. Body Mask Institute of Computer Science and Information Engineering 21 National University of Kaohsiung
  22. 22. Body Mask (cont.) Institute of Computer Science and Information Engineering 22 National University of Kaohsiung
  23. 23. Stereoscopic Institute of Computer Science and Information Engineering National University of Kaohsiung
  24. 24. Real 3D vs. Fake 3D• Fake 3D • Converting 2D films into 3D • Depth map• Real 3D • Two views • Two different cameras (or projections) Institute of Computer Science and Information Engineering 24 National University of Kaohsiung
  25. 25. Stereoscopic Principle• D: distance between the viewpoint and the screen• R: distance of stereo pair of images on the screen• S: distance between the perceived object and the screen Institute of Computer Science and Information Engineering 25 National University of Kaohsiung
  26. 26. Optical Angle• Best viewing range: 70~500cm• Distance between the two eyes: 6.5~7cm• Institute of Computer Science and Information Engineering 26 National University of Kaohsiung
  27. 27. Eye Separation• The most suitable for the 3D effect:• Distance: 140~210 cm• Optical angle: 2.86~1.91 degree Institute of Computer Science and Information Engineering 27 National University of Kaohsiung
  28. 28. Perspective Institute of Computer Science and Information Engineering 28 National University of Kaohsiung
  29. 29. Perspective Institute of Computer Science and Information Engineering 29 National University of Kaohsiung
  30. 30. Perspective Institute of Computer Science and Information Engineering 30 National University of Kaohsiung
  31. 31. Perspective Institute of Computer Science and Information Engineering 31 National University of Kaohsiung
  32. 32. Parallax Institute of Computer Science and Information Engineering National University of Kaohsiung
  33. 33. Positive and Zero Parallax• Positive Parallax • Cross point of each eye sight with the screen • Behind the screen• Zero Parallax • Overlap on the screen • No 3D effect Institute of Computer Science and Information Engineering 33 National University of Kaohsiung
  34. 34. Negative Parallax• Focus heating-point in front of the screen• Out of screen• The closer the screen is the smaller depth of field will be generated Institute of Computer Science and Information Engineering 34 National University of Kaohsiung
  35. 35. Parallax Adjustment Institute of Computer Science and Information Engineering National University of Kaohsiung
  36. 36. Result Institute of Computer Science and Information Engineering National University of Kaohsiung
  37. 37. NVIDIA 3D Vision1. OpenGL QuadBuffer 2. NVAPI 3. 3D Video Institute of Computer Science and Information Engineering 37 National University of Kaohsiung
  38. 38. Experiment Environment ASUS G53J Platform: Win7 64bitCPU: Intel i7-7400QM @1.73GHz RAM: 8GMGraphic Card: NVIDIA GTX 460M 1.5G Institute of Computer Science and Information Engineering 38 National University of Kaohsiung
  39. 39. MIP0 degree of MIP100 degree of MIP Institute of Computer Science and Information Engineering 39 National University of Kaohsiung
  40. 40. MIP240 degree of MIP280 degree of MIP Institute of Computer Science and Information Engineering 40 National University of Kaohsiung
  41. 41. Perspective of Mean Volume Rendering 0 degree of Perspective of Mean Volume Rendering 100 degree of Perspective of Mean Volume Rendering Institute of Computer Science and Information Engineering National University of Kaohsiung
  42. 42. Perspective of Mean Volume Rendering 240 degree of Perspective of Mean Volume Rendering 280 degree of Perspective of Mean Volume Rendering Institute of Computer Science and Information Engineering National University of Kaohsiung
  43. 43. Perspective with Bilinear Interpolation 0 degree of Perspective with Bilinear Interpolation 100 degree of Perspective with Bilinear Interpolation Institute of Computer Science and Information Engineering National University of Kaohsiung
  44. 44. Perspective with Bilinear Interpolation 240 degree of Perspective with Bilinear Interpolation 280 degree of Perspective with Bilinear Interpolation Institute of Computer Science and Information Engineering National University of Kaohsiung
  45. 45. Conclusion &Future Work Institute of Computer Science and Information Engineering National University of Kaohsiung
  46. 46. Conclusion• The stereoscopic image created by a perspective projection and applied with SUV calculation of PET scans in 3D shutter system.• Expending vision from 2D to 3D and the biggest difference between them is the depth information.• 2D images cannot distinguish three points which is in the front or which is in the back, but after we applied the stereoscopic techniques it is more obvious and clear to distinguish points’ relation and distance between them Institute of Computer Science and Information Engineering 46 National University of Kaohsiung
  47. 47. Future Work• A medical analyze system with stereoscopic display • More medical analyze functions • Real time volume rendering • Auto-stereoscopic Institute of Computer Science and Information Engineering 47 National University of Kaohsiung
  48. 48. Demo Institute of Computer Science and Information Engineering National University of Kaohsiung
  49. 49. Q &A Institute of Computer Science and Information Engineering National University of Kaohsiung

×