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Outline
• Introduction• Spiral Cone-beam CT• Interior Tomography• Multi-scale CT• Work in Progress
Integrated Biomedical Research Program
3 Medical Schools
1 Vet-Med College
10 Institutes/Centers
51 Faculty (17 Primary)
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
3
Wake Forest University
• Medical School Established in 1902• Ranked 30th among National Universities • Ranked 32th in NIH Funding• Ranked 1st in Regenerative Medicine (WFIRM)
4
Biomedical Imaging
Nuclear Imaging CT/X-Ray MRIBioluminescence &
Fluorescence
Computed
Tomography
Bioluminescence
Imaging
Optical
Tomography
Bioluminescent
Views
Individualized
Volume
Shape
Model
Optical
Model
3D
Mapping
Wang G, et al.: In vivo mouse studies with bioluminescence tomography. Optics Express
14:7801-7809, 2006
Bioluminescence Tomography (2002)
Recently Awarded BRP (“973”)
Outline
• Introduction• Spiral Cone-beam CT• Interior Tomography• Multi-scale CT• Work in Progress
Scanning for Faster Speed
Spiral into Modern CT Era
Ray Sum
Spiral Fan-beam CT (1983)
Ray A
1D Detector Array
x
y
zz
Interpolation to Planar Data
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. 99-112, July 1991 (Scanning Microscopy Instrumentation, Gordon S. Kino; Ed.)
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. 45:623-643, 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
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 3149 203–12, 1997
Katsevich Formula (2002)
dsdxsqyDqsyx
xf sqf
xIPI
sin
1|)),,(),((
|)(|
1
2
1)(
2
0)(
),(),(),( xsuxsxse ),(sin),(cos),,( xsexsxs
)( 0sy
e
),( xsu
),( 0 xs
)( 1sy
)( 2sy
)(xf
Detector
Plate
Source
Object
Pi-Line
Katsevich A: A general scheme for constructing inversion algorithms for cone beam CT. Int'l J. of Math. and Math. Sci. 21:1305-1321, 2003
h-index=30
Annually, ~100M CT scans are performed in USA alone
Dual-source CT (2003)
Dual-source In vivo Micro-CT scanner
Designed by BIR, Hoffman, Wang
Built by BIR in 2003
Bioluminescence tomography prototype
Designed by Wang, Hoffman, McLennan
Built by us & UI Med. Inst. Facility in 2003
Outline
• Introduction• Spiral Cone-beam CT• Interior Tomography• Multi-scale CT• Work in Progress
Interior Tomography (2007)
Sparsity-based Interior Recon
Inner Vision with Local Data
t
Sinogram
X-rays
Proje
ctio
n:
Linea
r inte
grals
ty
x
Measurement
Reconstruction
Object
),( yxf
),( tP
X X
Ultrafast Temporal Resolution
From Scanning to Roaming
Extension to Other Modalities
Ge Wang, Hengyong Yu
Limited Angle Interior Tomography
Interior CT Patent
Outline
• Introduction• Spiral Cone-beam CT• Interior Tomography• Multi-scale CT• Work in Progress
SBES Advanced Multi-scale CT Facility
Nano-CT Momentum
Andrew G. Peele et al.: High Resolution X-ray phase tomography. Proc. SPIE CT Conference, 2010
Interior Nano-CT
X-ray Beam Central Stop
Condense Lens
Sample
Zone
Plate
Phase Ring
Detector Plane
ROI
Sample Stage
Potential for Study on Earliest Life
Hagadorn JW, et al. (2006) Cellular and subcellular structure of Neoproterozoic embryos.
Science 314:291–294
Smaller Scales?
Outline
• Introduction• Spiral Cone-beam CT• Interior Tomography• Multi-scale CT• Work in Progress
Multi-parameter CT
Wang G, Cong W, Shen H, Zou Y: Varying Collimation for Dark-Field Extraction. International Journal of
Biomedical Imaging. 2009, Article ID 847537, 2010
Dark-field Tomography
Multi-energy CT
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.
Thank You for Invitation!