1. Outline Introduction Spiral Cone-beam CT Interior Tomography
Multi-scale CT
Work in Progress

2. Integrated Biomedical Research Program
3 Medical Schools
1 Vet-Med College
10 Institutes/Centers
51 Faculty (17 Primary)

3. Virginia Tech Established in 1872
Ranked 25th for College of Engineering
Ranked 12th in Patents
Ranked 8th in Licenses to Start-ups
Best multi-scale CT facility

4. Wake Forest University
Medical School Established in 1902
Ranked 30th among National Universities
Ranked 32th in NIH Funding
Ranked 1st in Regenerative Medicine (WFIRM)

5. Biomedical Imaging Bioluminescence & Fluorescence Nuclear Imaging
CT/X-Ray
MRI

6. Bioluminescence Tomography (2002)
Computed
Tomography
Individualized
Volume
Shape
Model
Optical
Tomography
Optical
Model
Bioluminescence
Imaging 3D
Mapping
Bioluminescent
Views
Wang G, et al.: In vivo mouse studies with bioluminescence tomography. Optics Express 14: , 2006

7. Recently Awarded BRP (“973”)

8. Outline Introduction Spiral Cone-beam CT Interior Tomography
Multi-scale CT
Work in Progress

9. Scanning for Faster Speed
Ray Sum
Spiral into Modern CT Era

10. Spiral Fan-beam CT (1983)

11. Interpolation to Planar Dataz z y x
1D Detector Array
Ray A

13. Spiral Cone-beam CT (1991)
Wang, G, Lin, TH, Cheng PC, Shinozaki DM, Kim, HG: Scanning cone-beam reconstruction algorithms for x-ray microtomography. Proc. SPIE Vol. 1556, p , July 1991 (Scanning Microscopy Instrumentation, Gordon S. Kino; Ed.)

14. Multiple Implications
To solve the long-object problem, a first level of improvement with respect to the 2D FBP algorithms was obtained by backprojecting the data in 3D, along the actual measurement rays. The prototype of this approach is the algorithm of Wang et al.
Defrise, Noo, Kudo: A solution to the long-object problem in helical cone-beam tomography. Phys. Med. Biol. 45: , 2000
Many advances in CB reconstruction have been made recently thanks to the quest for an attractive reconstruction method in helical CB tomography.
Pack, Noo, Clackdoyle: Cone-beam reconstruction using the backprojection of locally filtered projections. IEEE Trans. Medical Imaging 24:1-16, 2005

15. Seeking Exact Solution (1997)
“Cone-beam spiral CT seems an ideal imaging mode. It is desirable and possible that an exact cone-beam reconstruction algorithm be designed that takes longitudinally truncated cone-beam data and is computationally efficient.”
Wang G, Cheng PC, Vannier MW: Spiral CT - Current status and future directions. Proc. SPIE –12, 1997

16. Katsevich Formula (2002) Object Source Pi-Line Detector Plate
Katsevich A: A general scheme for constructing inversion algorithms for cone beam CT. Int'l J. of Math. and Math. Sci. 21: , 2003

17. Annually, ~100M CT scans are performed in USA alone
h-index=30

18. Dual-source CT (2003) Bioluminescence tomography prototype
Designed by Wang, Hoffman, McLennan
Built by us & UI Med. Inst. Facility in 2003
Dual-source In vivo Micro-CT scanner
Designed by BIR, Hoffman, Wang
Built by BIR in 2003

19. Outline Introduction Spiral Cone-beam CT Interior Tomography
Multi-scale CT
Work in Progress

20. Interior Tomography (2007)

21. Sparsity-based Interior Recon

22. Inner Vision with Local Data
Measurement
Projection: Linear integrals t y x
Sinogram X
Object
X-rays t
Reconstruction

23. Ultrafast Temporal Resolution

24. From Scanning to Roaming

25. Extension to Other Modalities
Ge Wang, Hengyong Yu

26. Limited Angle Interior Tomography

27. Interior CT Patent

28. Outline Introduction Spiral Cone-beam CT Interior Tomography
Multi-scale CT
Work in Progress

29. SBES Advanced Multi-scale CT Facility

30. Nano-CT Momentum
Andrew G. Peele et al.: High Resolution X-ray phase tomography. Proc. SPIE CT Conference, 2010

31. Interior Nano-CT X-ray Beam Central Stop Sample Phase Ring Zone Plate
Condense Lens
Sample
Zone
Plate
Phase Ring
Detector Plane
ROI
Sample Stage

32. Potential for Study on Earliest Life
Hagadorn JW, et al. (2006) Cellular and subcellular structure of Neoproterozoic embryos.
Science 314:291–294

33. Smaller Scales?

34. Larger Scales?

35. Outline Introduction Spiral Cone-beam CT Interior Tomography
Multi-scale CT
Work in Progress

36. Multi-parameter CT

37. Dark-field Tomography
Wang G, Cong W, Shen H, Zou Y: Varying Collimation for Dark-Field Extraction. International Journal of Biomedical Imaging. 2009, Article ID , 2010

38. Multi-energy CT

41. Acknowledgement
Important collaborators include, but not limited to, Drs. E. W. Bai, J. A. Brink, Z. Q. Chen, P. C. Cheng, W. X. Cong, M. Furth, W. M. Han, M. Jiang, A. Katsevich, Y. Li, L. Li, H. O. Shen, D. M. Shinozaki, D. L. Snyder, S. Soker, M. W. Vannier, S. Wang, Y. B. Wen, C. Wyatt, Y. Xu, J. S. Yang, Y. B. Ye, H. Y. Yu, J. Zhao, T. G. Zhuang, and Y Zou.
This work is partially supported by multiple NSF, NIH and industrial grants.

42. Thank You for Invitation!