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A successful model-based inversion has been achieved with the stacked cylinder proof-of-concept
model which compared reconstructions of pristine and damaged objects. A simulated "defect" inserted
in the damaged object was identified and located (see figure 1).
A collaboration with Stanford University has been established. Real Defrise phantom data have been
obtained and successful reconstructions achieved using model-based and voxel-based (ordered subset
expectation maximization [3]) algorithms (see figure 2).
A collaboration with array source research, development, and manufacturing companies (Triple Ring
and NovaRay) is forming to acquire future area array source data (see figure 3).
FY10 Proposed Work
A new Defrise phantom will be designed and manufactured at LLNL. The metrology (ground truth)
does not exist for the Stanford University Defrise data resulting in the lack of objective metrics for the
current reconstructions.
Data will be collected on the new Defrise and "As-Built" phantoms at Triple Ring. Source and detector
characterization measurements will be performed.
Source and detector characterization algorithms, and remediation methods will be developed.
Research into inversion and imaging algorithms will continue.
Related References
[1] Bruno De Man, Samit Basu, Dirk Beque, Bernhard Claus, Pete Edic, Maria Iatrou, James LeBlanc,
Bob Senzig, Richard Thompson, Mark Vermilye, Colin Wilson, Zhye Yin, Norbert Pelc,"Multi-source
inverse geometry CT : a new system concept for X-ray computed tomography," Medical Imaging
2007: Physics of Medical Imaging Proc. of SPIE Vol. 6510
[2] M. Defrise and R. Clack,"Filtered backprojection reconstruction of combined parallel beam and
cone beam SPECT data," Phys. Med. Biol. 40 (1995) 1517-1537
[3] H. M. Hudson and R S Larkin, "Accelerated Image Reconstruction using Ordered Subsets of
Projection Data," IEEE Transactions on Medical Imaging 1994
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Lehman, S. K.; Foudray, A. M.; Wang, A.; Kallman, J. S. & Martz, H. Optimized Volumetric Scanning for X-Ray Array Sources, book, September 29, 2009; (https://digital.library.unt.edu/ark:/67531/metadc1012766/m1/4/: accessed April 23, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.