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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