introduction to the method of bone-subtraction and our proposal advisor : ku-yaw chang student :...
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Introduction to the Method of Bone-Subtraction and Our Proposal
Advisor : Ku-Yaw ChangStudent : Wei-Lu Lin(林威如 )
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2 Outline
Introduction Bone-Subtraction Algorithm Conclusion
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3 Introduction
CT and CTA Image
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CTA Image(Contrast Image) CT Image(Mask Image)
4 Introduction
General Segmentation
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5 Introduction
General Segmentation
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How to Solve ?
6 Bone-Subtraction
Contrast and Mask Image(Data) Based on Matched Mask Bone Elimination(MMBE) Registration Operation Post-processing
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Mask Image(CT)
7 Bone-Subtraction
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Example
Volume Rendering[1] Surface Rendering
8 Bone-Subtraction
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Example
Cervical Arteries [2] Legs Arteries [2]
9 Bone-Subtraction
A Fast Subtraction Algorithm of Brain CT Angiography Image Based on MMBE
Removal of Bone in CT Angiography of the Cervical Arteries by Piecewise MMBE
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10 A Fast Subtraction Algorithm of Brain CT Angiography Image Based on MMBE
Steps Pre-processing 3D Rigid Registration Based on Mutual Information Bone Mask Extraction
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11
Step1: Pre-processing Remove Non-interesting Region Mapping
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CTA Image CT Image
A Fast Subtraction Algorithm of Brain CT Angiography Image Based on MMBE
12
Step2 : 3D Rigid Registration 3D Rigid Registration
Translation Rotation
Mutual Information Similarity Measure
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A Fast Subtraction Algorithm of Brain CT Angiography Image Based on MMBE
13
Step3 : Bone Mask Extraction Thresholding Refine Bone Mask
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A Fast Subtraction Algorithm of Brain CT Angiography Image Based on MMBE
14
Result
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A Fast Subtraction Algorithm of Brain CT Angiography Image Based on MMBE
15 Bone-Subtraction
A Fast Subtraction Algorithm of Brain CT Angiography Image Based on MMBE
Removal of Bone in CT Angiography of the Cervical Arteries by Piecewise MMBE
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16 Removal of Bone in CT Angiography of the Cervical Arteries by Piecewise MMBE
Steps: Watershed Algorithm on CT Image Register Individually
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17
Step1: Watershed Algorithm on CT Image
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CT Image CTA Image
Removal of Bone in CT Angiography of the Cervical Arteries by Piecewise MMBE
18
Step2: Register Individually
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Removal of Bone in CT Angiography of the Cervical Arteries by Piecewise MMBE
19
Result
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Removal of Bone in CT Angiography of the Cervical Arteries by Piecewise MMBE
20 Algorithm
Start
Bone Subtraction
Labeling
Thresholding
End
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21 Algorithm
Start
Bone Subtraction
Labeling
Thresholding
End
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22 Algorithm
Volume Image Contrast Mask
Binary Image B1 B2
Contrast Image Mask Image
B1 B2
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23 Algorithm
Thresholding Original Value:130
Thresholding
Bone Subtractio
nLabeling
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24 Algorithm
Start
Bone Subtraction
Labeling
Thresholding
End
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25 Algorithm
Registration Region B1 and B2 as Fixed and Moving
Thresholding
Bone Subtractio
nLabeling
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Fixed Image(B1) Moving Image(B2)
After Registrtion -Moving Image(B2)
Transform Parameter
26 Algorithm
Bone Filter Use B2 Position to Search Around In Contrast Image Filter Limit
Radius = 10 Use Original Value > 350 to Remove in B1
Thresholding
Bone Subtractio
nLabeling
B1 After Registrtion -Moving Image(B2)
Contrast Image Mask Image12
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27 Algorithm
Bone Filter Use B2 Position to Search Around In Contrast Image Filter Limit
Radius = 10 Use Original Value > 350 to Remove in B1
Thresholding
Bone Subtractio
nLabeling
After Registrtion -Moving Image(B2)Fixed Image(B1)
Contrast Image Mask Image12
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28 Algorithm
Erosion For B1 Remove Boundary Not to Do Dilation
Reserve Vessel Structure
Thresholding
Bone Subtractio
nLabeling
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Fixed Image(B1)
Contrast Image Mask Image12
After Registrtion -Moving Image(B2)
3
29 Algorithm
Start
Bone Subtraction
Labeling
Thresholding
End
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30 Algorithm
Labeling Recovery the Vessel Reference
Contrast Image and B2
Thresholding
Bone Subtractio
nLabeling
B2B1
Mask ImageContrast Image
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31 Algorithm
Labeling Recovery the Vessel Reference
Contrast Image and B2
Thresholding
Bone Subtractio
nLabeling
B2B1
Contrast Image Mask Image
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32 Conclusion
Condition Registration
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Contrast Image Mask Image
33 Conclusion
Condition Registration
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Rotation
34 Conclusion
Condition Labeling
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35 Conclusion
Difference Matched Mask Bone Elimination(MMBE) Flexibility
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36 Reference
[1] DSCT.comhttp://www.dsct.com/index.php/article-series-dual-energy-ct-scientific-evidence-and-clinical-application-27-head-and-neck/
[2] TOSHIBA MEDICAL SYSTEM EUROPEhttp://www.toshiba-medical.eu/eu/product-solutions/computed-tomography/aquilion-one-vision-edition-overview/aquilion-one-vision-edition-advanced-applications/
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37 Reference
[3] Fangfang Han, Jinzhu Yang, Dazhe Zhao and Hong Zhao, “A Fast Subtraction Algorithm of Brain CT
Angiography Image Based on MMBE,” International Conference on Information and
Automation (ICIA), 2012, pp. 226-229 [4] M. van Straten, H.W. Venema, G.J. Streekstra, C.B.L.M. Majoie, G.J.
den Heeten and C.A. Grimbergen, “Removal of bone in CT angiography of the cervical arteries by piecewise matched mask bone elimination,” Proceeding of the IEEE International Conference on Information and Automation Shenyang, China, June 2012
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38
The EndThank you for listening
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