Table of Contents
ISRN Biomedical Imaging
Volume 2013, Article ID 943051, 11 pages
http://dx.doi.org/10.1155/2013/943051
Research Article

Evaluation of the Feasibility and Quantitative Accuracy of a Generalized Scatter 2D PET Reconstruction Method

1Department of Physics and Astronomy, University of Manitoba, Allen Building, Winnipeg, MB, Canada R3T 2N2
2CancerCare Manitoba, Winnipeg, MB, Canada R3E 0V9
3Department of Radiology, University of Manitoba, Winnipeg, MB, Canada R3E 0V9

Received 21 December 2012; Accepted 16 January 2013

Academic Editors: N. Belcari, Y. Chen, and F. Rannou

Copyright © 2013 Hongyan Sun and Stephen Pistorius. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. C. H. Holdsworth, C. S. Levin, T. H. Farquhar, M. Dahlbom, and E. J. Hoffman, “Investigation of accelerated Monte Carlo techniques for PET simulation and 3D PET scatter correction,” IEEE Transactions on Nuclear Science, vol. 48, no. 1, pp. 74–81, 2001. View at Publisher · View at Google Scholar · View at Scopus
  2. K. S. Kim and J. C. Ye, “Fully 3D iterative scatter-corrected OSEM for HRRT PET using a GPU,” Physics in Medicine and Biology, vol. 56, no. 15, pp. 4991–5009, 2011. View at Publisher · View at Google Scholar · View at Scopus
  3. H. Zaidi and M.-L. Montandon, “Scatter compensation techniques inPET,” PET Clinics, vol. 2, no. 2, pp. 219–234, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. A. Konik, M. T. Madsen, and J. J. Sunderland, “GATE simulations of human and small animal PET for determination of scatter fraction as a function of object size,” IEEE Transactions on Nuclear Science, vol. 57, no. 5, pp. 2558–2563, 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. D. L. Bailey, D. W. Townsend, P. E. Valk, and M. N. Maisey, Positron Emission Tomography: Basic Sciences, 2005.
  6. B. Guerin and G. El Fakhri, “Novel scatter compensation of list-mode PET data using spatial and energy dependent corrections,” IEEE Transactions on Medical Imaging, vol. 30, no. 3, pp. 759–773, 2011. View at Publisher · View at Google Scholar · View at Scopus
  7. D. L. Bailey, “Quantitative procedures in 3D PET,” in The Theory and Practice of 3D PET, pp. 55–109, 1998. View at Google Scholar
  8. H. Zaidi and K. F. Koral, “Scatter modelling and compensation in emission tomography,” European Journal of Nuclear Medicine and Molecular Imaging, vol. 31, no. 5, pp. 761–782, 2004. View at Google Scholar · View at Scopus
  9. H. Zaidi, “Scatter modelling and correction strategies in fully 3-D pet,” Nuclear Medicine Communications, vol. 22, no. 11, pp. 1181–1184, 2001. View at Publisher · View at Google Scholar · View at Scopus
  10. S. Grootoonk, T. J. Spinks, D. Sashin, N. M. Spyrou, and T. Jones, “Correction for scatter in 3D brain PET using a dual energy window method,” Physics in Medicine and Biology, vol. 41, no. 12, pp. 2757–2774, 1996. View at Publisher · View at Google Scholar · View at Scopus
  11. B. Bendriem, R. Trebossen, V. Frouin, and A. Syrota, “A PET scatter correction using simultaneous acquisitions with low and high lower energy thresholds,” in Proceedings of the IEEE Nuclear Science Symposium & Medical Imaging Conference, pp. 1779–1783, San Francisco, Calif, USA, November 1993. View at Scopus
  12. R. L. Harrison, D. R. Haynor, and T. K. Lewellen, “Dual energy window scatter corrections for positron emission tomography,” in Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference, pp. 1700–1704, Santa Fe, NM, USA, 1992.
  13. V. Sossi, J. S. Barney, and T. J. Ruth, “Noise reduction in the dual energy window scatter correction approach in 3D PET,” in Proceedings of the Nuclear Science Symposium and Medical Imaging Conference, pp. 1512–1515, Norfolk, UK, November 1994. View at Scopus
  14. L.-E. Adam, J. S. Karp, and R. Freifelder, “Scatter correction using a dual energy window technique for 3D PET with NaI(Tl) detectors,” in Proceedings of the IEEE Nuclear Science Symposium Conference Record, pp. 2011–2018, Toronto, Canada, November 1998. View at Scopus
  15. L. Shao, R. Freifelder, and J. S. Karp, “Triple energy window scatter correction technique in PET,” IEEE Transactions on Medical Imaging, vol. 13, no. 4, pp. 641–648, 1994. View at Publisher · View at Google Scholar · View at Scopus
  16. M. Bentourkia, P. Msaki, J. Cadorette, and R. Lecomte, “Energy dependence of scatter components in multispectral PET imaging,” IEEE Transactions on Medical Imaging, vol. 14, no. 1, pp. 138–145, 1995. View at Publisher · View at Google Scholar · View at Scopus
  17. C. S. Levin, M. Dahlbom, and E. J. Hoffman, “A Monte Carlo correction for the effect of Compton scattering in 3-D pet brain imaging,” IEEE Transactions on Nuclear Science, vol. 42, no. 4, pp. 1181–1185, 1995. View at Google Scholar · View at Scopus
  18. O. Barret, T. A. Carpenter, J. C. Clark, R. E. Ansorge, and T. D. Fryer, “Monte Carlo simulation and scatter correction of the GE Advance PET scanner with SimSET and Geant4,” Physics in Medicine and Biology, vol. 50, no. 20, pp. 4823–4840, 2005. View at Publisher · View at Google Scholar · View at Scopus
  19. S. Basu, H. Zaidi, S. Holm, and A. Alavi, “Quantitative techniques in PET-CT imaging,” Current Medical Imaging Reviews, vol. 7, no. 3, pp. 216–233, 2011. View at Google Scholar · View at Scopus
  20. D. L. Bailey and S. R. Meikle, “A convolution-subtraction scatter correction method for 3D PET,” Physics in Medicine and Biology, vol. 39, no. 3, pp. 411–424, 1994. View at Publisher · View at Google Scholar · View at Scopus
  21. F. J. Beekman, C. Kamphuis, and E. C. Frey, “Scatter compensation methods in 3D iterative SPECT reconstruction: a simulation study,” Physics in Medicine and Biology, vol. 42, no. 8, pp. 1619–1632, 1997. View at Publisher · View at Google Scholar · View at Scopus
  22. M. Tamal, A. J. Reader, P. J. Markiewicz, P. J. Julyan, and D. L. Hastings, “Noise properties of four strategies for incorporation of scatter and attenuation information in PET reconstruction using the EM-ML algorithm,” IEEE Transactions on Nuclear Science, vol. 53, no. 5, pp. 2778–2786, 2006. View at Publisher · View at Google Scholar · View at Scopus
  23. J. Qi, R. M. Leahy, C. Hsu, T. H. Farquhar, and S. R. Cherry, “Fully 3D bayesian image reconstruction for the ECAT EXACT HR+ l,” IEEE Transactions on Nuclear Science, vol. 45, no. 3, pp. 1096–1103, 1998. View at Google Scholar · View at Scopus
  24. J. E. Bowsher, V. E. Johnson, T. G. Turkington, R. J. Jaszczak, C. E. Floyd, and R. Edward Coleman, “Bayesian reconstruction and use of anatomical a priori information for emission tomography,” IEEE Transactions on Medical Imaging, vol. 15, no. 5, pp. 673–686, 1996. View at Google Scholar · View at Scopus
  25. H. Zaidi, “Relevance of accurate Monte Carlo modeling in nuclear medical imaging,” Medical Physics, vol. 26, pp. 574–608, 1999. View at Google Scholar
  26. R. Levkovitz, D. Falikman, M. Zibulevsky, A. Ben-Tal, and A. Nemirovski, “The design and implementation of COSEM, an iterative algorithm for fully 3-D listmode data,” IEEE Transactions on Medical Imaging, vol. 20, no. 7, pp. 633–642, 2001. View at Publisher · View at Google Scholar · View at Scopus
  27. H. T. Chen, C.-M. Kao, and C. T. Chen, “A fast, energy-dependent scatter reduction method for 3D PET imaging,” in Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference, pp. 2630–2634, October 2003. View at Scopus
  28. L. M. Popescu, R. M. Lewitt, S. Matej, and J. S. Karp, “PET energy-based scatter estimation and image reconstruction with energy-dependent corrections,” Physics in Medicine and Biology, vol. 51, no. 11, pp. 2919–2937, 2006. View at Publisher · View at Google Scholar · View at Scopus
  29. L. M. Popescu, “PET energy-based scatter estimation in the presence of randoms, and image reconstruction with energy-dependent scatter and randoms corrections,” IEEE Transactions on Nuclear Science, vol. 59, pp. 1958–1966, 2012. View at Google Scholar
  30. M. Conti, I. Hong, and C. Michel, “Reconstruction of scattered and unscattered PET coincidences using TOF and energy information,” Physics in Medicine and Biology, vol. 57, pp. 307–317, 2012. View at Google Scholar
  31. M. Conti, “Why is TOF PET reconstruction a more robust method in the presence of inconsistent data?” Physics in Medicine and Biology, vol. 56, no. 1, pp. 155–168, 2011. View at Publisher · View at Google Scholar · View at Scopus
  32. S. Pistorius and H. Sun, “A novel scatter enhanced PET reconstruction algorithm,” in World Congress Medical Physical and Biomedical Engineering, Beijing, China, 2012. View at Google Scholar
  33. H. Zaidi, M.-L. Montandon, and S. Meikle, “Strategies for attenuation compensation in neurological PET studies,” NeuroImage, vol. 34, no. 2, pp. 518–541, 2007. View at Publisher · View at Google Scholar · View at Scopus
  34. E. Van Uytven, S. Pistorius, and R. Gordon, “An iterative three-dimensional electron density imaging algorithm using uncollimated Compton scattered x rays from a polyenergetic primary pencil beam,” Medical Physics, vol. 34, no. 1, pp. 256–265, 2007. View at Publisher · View at Google Scholar · View at Scopus
  35. C. C. Watson, D. Newport, M. E. Casey, R. A. Dekemp, R. S. Beanlands, and M. Schmand, “Evaluation of simulation-based scatter correction for 3-D PET cardiac imaging,” IEEE Transactions on Nuclear Science, vol. 44, no. 1, pp. 90–97, 1997. View at Google Scholar · View at Scopus
  36. C. C. Watson, “New, faster, image-based scatter correction for 3D PET,” IEEE Transactions on Nuclear Science, vol. 47, no. 4, pp. 1587–1594, 2000. View at Google Scholar · View at Scopus
  37. L. A. Shepp and Y. Vardi, “Maximum likelihood reconstruction for emission tomography,” IEEE Transactions on Medical Imaging, vol. 1, no. 2, pp. 113–122, 1982. View at Google Scholar · View at Scopus
  38. G. Kontaxakis and L. G. Strauss, “Maximum likelihood algorithms for image reconstruction in Positron Emission Tomography,” in Radionuclides For Oncology—Current Status and Future Aspects, pp. 73–106, 1998. View at Google Scholar
  39. http://www.opengatecollaboration.org/.
  40. K. Assié, V. Breton, I. Buvat et al., “Monte Carlo simulation in PET and SPECT instrumentation using GATE,” Nuclear Instruments and Methods in Physics Research A, vol. 527, no. 1-2, pp. 180–189, 2004. View at Publisher · View at Google Scholar · View at Scopus
  41. R. J. Jaszczak, K. L. Greer, C. E. Floyd Jr., C. C. Harris, and R. E. Coleman, “Improved SPECT quantification using compensation for scattered photons,” Journal of Nuclear Medicine, vol. 25, no. 8, pp. 893–900, 1984. View at Google Scholar · View at Scopus
  42. http://www.spect.com/pub/Flanged_Jaszczak_Phantoms.pdf.
  43. H. Sun and S. Pistorius, “Improvements in image quality when using patient outline constraints with a generalized scatter PET reconstruction algorithm,” in Proceedings of the IEEE Nuclear Science Symposium & Medical Imaging Conference, vol. M16-1, pp. 16–11, Anaheim, Calif, USA, 2012.