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. • Introduction
• Motivation
• Related Works
• Proposed Approach
• DICOM Analysis
• Stereoscopic
• Result
• Conclusion and Future Work
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3. Introduction
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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
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5. Motivation
• 3D effect get popular
• Not a new technology
• Medical diagnosis:
• Improve the efficiency of diagnosis
• Surgical simulation
• Education training
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6. Algorithm
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7. Related Works
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8. Medical Scans
• DICOM file:
• File format
• DICOM Standards Committee
• Widely used by hospitals
• Dividing into two parts:
• Image
• Header (metadata) files
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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
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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
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11. Stereoscopic
• Illusion of 3D depth from images on a 2D
plane
• 3D viewer technology:
• Anaglyph
• Active shutter systems
• Polarization systems
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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
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13. Proposed Approach
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14. DICOM Analysis
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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
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16. Step 1: Convert Pixel Value to
Activity Concentration
• Rescale Slope tag are vary for every image
slice
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17. Step 2: Decay Calibration Factor
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18. Step 3: Calculate SUV
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19. SUV
Number 147 and 195 slice (a)original PET (b)SUV (c) threshold with 2.5
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20. Non-body Pixels
Non-body
Original CT
pixels removed
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21. Body Mask
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22. Body Mask (cont.)
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23. Stereoscopic
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24. Real 3D vs. Fake 3D
• Fake 3D
• Converting 2D films into 3D
• Depth map
• Real 3D
• Two views
• Two different cameras (or projections)
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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
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26. Optical Angle
• Best viewing range:
70~500cm
• Distance between the
two eyes: 6.5~7cm
•
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27. Eye Separation
• The most suitable for the 3D effect:
• Distance: 140~210 cm
• Optical angle: 2.86~1.91 degree
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28. Perspective
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29. Perspective
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30. Perspective
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31. Perspective
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32. Parallax
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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
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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
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35. Parallax Adjustment
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36. Result
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37. NVIDIA 3D
Vision
1. OpenGL QuadBuffer
2. NVAPI
3. 3D Video
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38. Experiment
Environment
ASUS G53J
Platform: Win7 64bit
CPU: Intel i7-7400QM @1.73GHz
RAM: 8GM
Graphic Card: NVIDIA GTX 460M
1.5G
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39. MIP
0 degree of MIP
100 degree of MIP
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40. MIP
240 degree of MIP
280 degree of MIP
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41. Perspective of Mean Volume
Rendering
0 degree of Perspective of Mean Volume Rendering
100 degree of Perspective of Mean Volume Rendering
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42. Perspective of Mean Volume
Rendering
240 degree of Perspective of Mean Volume Rendering
280 degree of Perspective of Mean Volume Rendering
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43. Perspective with Bilinear
Interpolation
0 degree of Perspective with Bilinear Interpolation
100 degree of Perspective with Bilinear Interpolation
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44. Perspective with Bilinear
Interpolation
240 degree of Perspective with Bilinear Interpolation
280 degree of Perspective with Bilinear Interpolation
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45. Conclusion
&
Future Work
Institute of Computer Science and Information Engineering
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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
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47. Future Work
• A medical analyze system with stereoscopic
display
• More medical analyze functions
• Real time volume rendering
• Auto-stereoscopic
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48. Demo
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49. Q &A
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