Bias in iterative reconstruction of low-statistics PET data: Benefits of a resolution model

IEEE Nuclear Science Symposium Conference Record

Volumn , Issue , 2009, Pages 2857-2863

  Walker, Matthew D ^a   Julyan, Peter J ^a   Talbot, Peter S ^a   Jones, Terry ^a   Matthews, Julian C ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Image reconstruction; Positron emission tomography; Resolution modeling; Sampling methods

Indexed keywords

BIAS AND VARIANCE; BINDING POTENTIAL; BIOLOGICAL PARAMETER; DYNAMIC PET; HIGH-RESOLUTION RESEARCH TOMOGRAPH; HUMAN DATA; IMAGE-BASED; ITERATIVE RECONSTRUCTION; LIST MODE DATA; METHODS OF DATA ANALYSIS; MONTE CARLO SIMULATION; NOISE EQUIVALENT COUNTS; ORDERED-SUBSET EXPECTATION MAXIMIZATIONS; OSEM RECONSTRUCTION; PATIENT DATA; PET DATA; PET SCANNER; PSF MODEL; RESOLUTION MODELING; SAMPLING METHOD; SAMPLING METHODS; SIMULATED DATA; STATISTICAL QUALITY; SUPPRESSION OF NOISE; TIME-ACTIVITY CURVES; YIELD PARAMETERS;

COMPUTER SIMULATION; COMPUTERIZED TOMOGRAPHY; DATA FLOW ANALYSIS; ERRORS; HOSPITAL DATA PROCESSING; IMAGE RECONSTRUCTION; MONTE CARLO METHODS; NUCLEAR PHYSICS; OPTICAL TRANSFER FUNCTION; POSITRONS; REPAIR; SCANNING;

POSITRON EMISSION TOMOGRAPHY;

EID: 77951187761     PISSN: 10957863     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NSSMIC.2009.5401635     Document Type: Conference Paper

References (17)

1. A. Reilhac, S. Tomei, I. Buvat, C. Michel, F. Keheren, and N. Costes, "Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies," NeuroImage, vol. 39, no. 1, pp. 359-368, 2008.
2. F. H. P. van Velden, R. W. Kloet, B. N. M. van Berckel, A. A. Lammertsma, and R. Boellaard, "Accuracy of 3-dimensional reconstruction algorithms for the high-resolution research tomograph," J. Nucl. Med., vol. 50, no. 1, pp. 72-80, 2009.
3. H. de Jong, F. H. P. van Velden, R. W. Kloet, F. L. Buijs, R. Boellaard, and A. A. Lammertsma, "Performance evaluation of the ECAT HRRT: an LSO-LYSO double layer high resolution, high sensitivity scanner," Phys. Med. Biol., vol. 52, no. 5, pp. 1505-1526, 2007.
4. J. Johansson, V. Oikonen, and M. Teras, "Quantitative brain imaging using the new, fast iterative histogram-mode reconstruction for the HRRT PET scanner," in Nuclear Science Symp. Conf. Rec., 2007. NSS '07. IEEE, vol. 5, 2007, pp. 3463-3467.
5. B. Planeta-Wilson, J. Yan, T. Mulnix, and R. E. Carson, "Quantitative accuracy of HRRT list-mode reconstructions: Effect of low statistics," in Nuclear Science Symp. Conf. Rec., 2008. NSS '08. IEEE, 2008, pp. 5121-5124.
6. C. Comtat, F. C. Sureau, M. Sibomana, I. K. Hong, N. Sjoholm, and R. Trebossen, "Image based resolution modeling for the HRRT OSEM reconstructions software," in Nuclear Science Symp. Conf. Rec., 2008. NSS '08. IEEE, 2008, pp. 4120-4123.
7. F. C. Sureau, A. J. Reader, C. Comtat, C. Leroy, M.-J. Ribeiro, I. Buvat, and R. Trebossen, "Impact of image-space resolution modeling for studies with the high-resolution research tomograph," J. Nucl. Med., vol. 49, no. 6, pp. 1000-1008, 2008.
8. A. Varrone, N. Sjoholm, L. Eriksson, B. Gulyas, C. Halldin, and L. Farde, "Advancement in PET quantification using 3D-OP-OSEM point spread function reconstruction with the HRRT," Eur. J. Nucl. Med. Mol. Imaging, vol. 36, no. 10, pp. 1639-1650, 2009.
9. A. Rahmim, C. Ju-Chieh, and V. Sossi, "Improved noise propagation in statistical image reconstruction with resolution modeling," in Nuclear Science Symp. Conf. Rec., 2005 IEEE, vol. 5, 2005, pp. 2576-2578.
10. C. C. Watson, "Image noise variance in 3D OSEM reconstruction of clinical time-of-flight PET," in Nuclear Science Symp. Conf. Rec., 2006 IEEE, vol. 3, 2006, pp. 1736-1739.
11. 11C-DASB in healthy humans," Neuropsychopharmacology [advance online publication], Nov. 4, 2009.
12. L. G. Byars, M. Sibomana, Z. Burbar, J. Jones, V. Panin, W. C. Barker, L. Jeih-San, R. E. Carson, and C. Michel, "Variance reduction on randoms from coincidence histograms for the HRRT," in Nuclear Science Symp. Conf. Rec., 2005 IEEE, vol. 5, 2005, pp. 2622-2626.
13. S. C. Strother, M. E. Casey, and E. J. Hoffman, "Measuring PET scanner sensitivity: relating countrates to image signal-to-noise ratios using noise equivalents counts," IEEE Trans. Nucl. Sci., vol. 37, no. 2, pp. 783-788, 1990.
14. A. A. Lammertsma and S. P. Hume, "Simplified reference tissue model for PET receptor studies," NeuroImage, vol. 4, no. 3, pp. 153-158, 1996.
15. A. J. Reader, P. J. Julyan, H. Williams, D. L. Hastings, and J. Zweit, "EM algorithm system modeling by image-space techniques for PET reconstruction," IEEE Trans. Nucl. Sci., vol. 50, no. 5, pp. 1392-1397, 2003.
16. H. H. Barrett, D. W. Wilson, and B. M. W. Tsui, "Noise properties of the EM algorithm. I. theory," Phys. Med. Biol., vol. 39, no. 5, pp. 833-846, 1994.
17. C. Ju-Chieh, A. Rahmim, S. Blinder, and V. Sossi, "A global and a segmented plane scatter calibration: improving the quantitative accuracy of frames with high random fraction and/or low number of counts in dynamic high resolution PET brain imaging," in Nuclear Science Symp. Conf. Rec., 2007. NSS '07. IEEE, vol. 6, 2007, pp. 4475-4480.