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Experimental PSF modeling for Fully 3-D PET reconstruction

Long Zhang (UGent) , Roel Van Holen (UGent) , Steven Staelens (UGent) and Stefaan Vandenberghe (UGent)
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Abstract
Studies have shown that incorporating measurement-derived point spread functions (PSFs) in reconstruction significantly improves the image quality of positron emission tomography (PET). However, measuring the complete image grids and storing the whole system model are not feasible in practice. We measured the PSFs on a sparse grid and used a parameterization technique to estimate the PSFs at locations that were not measured. Symmetries of the PET scanner and a factorized matrix approach were used to address the storage problem. Our rotator-based algorithm was used to exploit radial symmetries on rectangular voxels. The overall system responses were factorized as a product of a geometric component and a projection space blurring component. The geometric component was also used to determine the axial peak locations of the measured PSFs. An initial implementation of our method was presented, which yielded a compact fully 3-D system model (less than 250 MB). The image quality in terms of resolution (>1300%) and contrast noise trade-offs (> 15%) was considerably improved compared to the reconstruction of the scanner’s standard algorithm.

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Please use this url to cite or link to this publication:

MLA
Zhang, Long, Roel Van Holen, Steven Staelens, et al. “Experimental PSF Modeling for Fully 3-D PET Reconstruction.” Fully 3D 2011 Proceedings. 2011. 217–220. Print.
APA
Zhang, Long, Van Holen, R., Staelens, S., & Vandenberghe, S. (2011). Experimental PSF modeling for Fully 3-D PET reconstruction. Fully 3D 2011 proceedings (pp. 217–220). Presented at the 11th International meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully 3D 11).
Chicago author-date
Zhang, Long, Roel Van Holen, Steven Staelens, and Stefaan Vandenberghe. 2011. “Experimental PSF Modeling for Fully 3-D PET Reconstruction.” In Fully 3D 2011 Proceedings, 217–220.
Chicago author-date (all authors)
Zhang, Long, Roel Van Holen, Steven Staelens, and Stefaan Vandenberghe. 2011. “Experimental PSF Modeling for Fully 3-D PET Reconstruction.” In Fully 3D 2011 Proceedings, 217–220.
Vancouver
1.
Zhang L, Van Holen R, Staelens S, Vandenberghe S. Experimental PSF modeling for Fully 3-D PET reconstruction. Fully 3D 2011 proceedings. 2011. p. 217–20.
IEEE
[1]
L. Zhang, R. Van Holen, S. Staelens, and S. Vandenberghe, “Experimental PSF modeling for Fully 3-D PET reconstruction,” in Fully 3D 2011 proceedings, Potsdam, Germany, 2011, pp. 217–220.
@inproceedings{1957530,
  abstract     = {Studies have shown that incorporating measurement-derived point spread functions (PSFs) in reconstruction significantly improves the image quality of positron emission tomography (PET). However, measuring the complete image grids and storing the whole system model are not feasible in practice. We measured the PSFs on a sparse grid and used a parameterization technique to estimate the PSFs at locations that were not measured. Symmetries of the PET scanner and a factorized matrix approach were used to address the storage problem. Our rotator-based algorithm was used to exploit radial symmetries on rectangular voxels. The overall system responses were factorized as a product of a geometric component and a projection space blurring component. The geometric component was also used to determine the axial peak locations of the measured PSFs. An initial implementation of our method was presented, which yielded a compact fully 3-D system model (less than 250 MB). The image quality in terms of resolution (>1300%) and contrast noise trade-offs (> 15%) was considerably improved compared to the reconstruction of the scanner’s standard algorithm.},
  author       = {Zhang, Long and Van Holen, Roel and Staelens, Steven and Vandenberghe, Stefaan},
  booktitle    = {Fully 3D 2011 proceedings},
  language     = {eng},
  location     = {Potsdam, Germany},
  pages        = {217--220},
  title        = {Experimental PSF modeling for Fully 3-D PET reconstruction},
  year         = {2011},
}