Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies

NeuroImage

Volumn 39, Issue 1, 2008, Pages 359-368

  Reilhac, Anthonin ^a   Tomeï, Sandrine ^a   Buvat, Irène ^b   Michel, Christian ^c   Keheren, Frank ^c   Costes, Nicolas ^a,d  

^a CERMEP IMAGERIE DU VIVANT   (France)

^b PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^c SIEMENS CORPORATE RESEARCH   (United States)

^d INSERM   (France)

Author keywords

Image reconstruction; OSEM; PET; Simulation

Indexed keywords

2' METHOXYPHENYL (N 2' PYRIDINYL) 4 FLUORO BENZAMIDOETHYLPIPERAZINE F 18; FLUORODEOXYGLUCOSE F 18; SEROTONIN 1A ANTAGONIST; UNCLASSIFIED DRUG;

ARTICLE; IMAGE QUALITY; NEUROIMAGING; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MODELS, NEUROLOGICAL; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; POSITRON-EMISSION TOMOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 36148937522     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2007.07.038     Document Type: Article

References (41)

1. Ahn S., and Fessler J.A. Emission image reconstruction for randoms-precorrected PET allowing negative sinogram values. IEEE Trans. Med. Imag. 23 5 (2004) 591-601 (May)
2. Barrett H.H., Wilson D.W., and Tsui B.M. Noise properties of the EM algorithm: I. Theory. Phys. Med. Biol. 39 5 (1994) 833-846 (May)
3. 11C] WAY-100635. NeuroImage 21 1 (2004) 244-250 (Jan.)
4. Boellaard R., van Lingen A., and Lammertsma A.A. Experimental and clinical evaluation of iterative reconstruction (OSEM) in dynamic PET: quantitative characteristics and effects on kinetic modeling. J. Nucl. Med. 42 5 (2001) 808-817 (May)
5. Bouchareb Y., Thielemans K., Spinks T., Rimoldi O., and Camici P.G. Comparison of analytic and iterative reconstruction methods for quantitative cardiac PET studies in 3D using Oxygen-15 water scans. IEEE Nucl. Sci. Symp. Conf. Rec. 4 (2005) 2120-2123
6. Brix G., Zaers J., Adam L.E., Bellemann M.E., Ostertag H., Trojan H., Haberkorn U., Doll J., Oberdorfer F., and Lorenz W.J. Performance evaluation of a whole-body PET scanner using the NEMA protocol. National Electrical Manufacturers Association. J. Nucl. Med. 38 10 (1997) 1614-1623 (Oct.)
7. Buvat I. A non-parametric bootstrap approach for analysing the statistical properties of SPECT and PET images. Phys. Med. Biol. 47 10 (2002) 1761-1775 (May)
8. Byrne C. Iterative algorithms for deblurring and deconvolution with constraints. Inverse Problems 14 (1998) 1455-1467
9. Cheng J.-C.K., Rahmim A., Blinder S., Camborde M.-L., Raywood K., and Sossi V. A scatter-corrected list-mode reconstruction and a practical scatter/random approximation technique for dynamic PET imaging. Phys. Med. Biol. 52 8 (2007) 2089-2106 (Apr.)
10. Defrise M., Kinahan P.E., Townsend D.W., Michel C., Sibomana M., and Newport D.F. Exact and approximate rebinning algorithms for 3-D PET data. IEEE Trans. Med. Imag. 16 2 (1997) 145-158 (Apr.)
11. Erlandsson K., Visvikis D.W.A., Waddington I.C., Jarrit P.H., and Pilowsky L.S. Low-statistics reconstruction with AB-EMML. IEEE Nucl. Sci. Symp. Conf. Rec. 3 (2000) 15/249-15/253 (Oct.)
12. Fessler J.A. Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): applications to tomography. IEEE Trans. Image Process. 5 (1996) 493-506
13. Gunn R.N., Lammertsma A.A., Hume S.P., and Cunningham V.J. Parametric imaging of ligand-receptor binding in PET using a simplified reference region model. NeuroImage 6 4 (1997) 279-287 (Nov.)
14. 18F-FDG study. Eur. J. Nucl. Med. Mol. Imaging 30 11 (2003) 1510-1519 (Nov.)
15. Hudson H.M., and Larkin R.S. Accelerated image reconstruction using ordered subsets of projection data. IEEE Trans. Med. Imag. 13 4 (1994) 601-609
16. Kadrmas D.J., DiBella E.V., Huesman R.H., and Gullberg G.T. Analytical propagation of errors in dynamic SPECT: estimators, degrading factors, bias and noise. Phys. Med. Biol. 44 8 (1999) 1997-2014 (Aug.)
17. Kinahan P.E., and Rogers J.G. Analytic 3D image reconstruction using all detected events. IEEE Trans. Nucl. Sci. 36 1 (1989) 964-968
18. Koch W., Hamann C., Welsch J., Pöpperl G., Radau P., and Tatsch E. Is iterative reconstruction an alternative to filtered backprojection in routine processing of dopamine transporter SPECT studies?. J. Nucl. Med. 46 11 (2005) 1804-1811 (Nov.)
19. Lammertsma A.A., and Hume S.P. Simplified reference tissue model for pet receptor studies. NeuroImage 4 3 Pt. 1 (1996) 153-158 (Dec.)
20. Lartizien C., Kinahan P.E., Swensson R., Comtat C., Lin M., Villemagne V., and Trébossen R. Evaluating image reconstruction methods for tumor detection in 3-dimensional whole-body PET oncology imaging. J. Nucl. Med. 4 2 (2003) 276-290 (Feb.)
21. Li Q., and Leahy R.M. Statistical modeling and reconstruction of randoms precorrected PET data. IEEE Trans. Med. Imag. 25 12 (2006) 1565-1572 (Dec.)
22. Matej S., and Bajla I. A high speed reconstruction from projections using direct Fourier method with optimal parameters - an experimental analysis. IEEE Trans. Med. Imag. 9 (1990) 421-429 (Dec.)
23. 18F]MPPF-PET study. Brain 127 Pt. 4 (2004) 900-913 (Apr.)
24. 1A receptor binding in temporal lobe epilepsy with hippocampal ictal onset on intracranial EEG. NeuroImage 22 2 (2004) 886-896 (Jun.)
25. 15O]water PET activation studies using statistical parametric mapping analysis. NeuroImage 19 3 (2003) 1170-1179 (Jul.)
26. Michel C., Sibomana M., Bol A., Bernard X., Lonneux M., Defrise M., Comtat C., Kinahan P.E., and Townsend D.W. Preserving Poisson characteristics of PET data with weighted OSEM reconstruction. IEEE Nucl. Sci. Symp. Conf. Rec. M6-61 (1998)
27. Michel C., Liu X., Sanabria S., Lonneux M., Sibomana M., Bol A., Comtat C., Kinahan P.E., Townsend D.W., and Defrise M. Weighted schemes applied to 3D-OSEM reconstruction in PET. IEEE Nucl. Sci. Symp. Conf. Rec. 3 (1999) 1152-1157
28. Morimoto T., Ito H., Takano A., Ikoma Y., Seki C., Okauchi T., Tanimoto K., Ando A., Shiraishi T., Yamaya T., and Suhara T. Effects of image reconstruction algorithm on neurotransmission PET studies in humans: comparison between filtered backprojection and ordered subsets expectation maximization. Ann. Nucl. Med. 20 3 (2006) 237-243 (Apr.)
29. Nuyts, J., 2007. Private communication.
30. Nuyts J., Stroobants S., Dupont P., Vleugels S., Flamen P., and Mortelmans L. Reducing loss of image quality because of the attenuation artifact in uncorrected PET whole-body images. J. Nucl. Med. 43 8 (2002) 1054-1062 (Aug.)
31. Qi J., and Leahy R.M. Resolution and noise properties of MAP reconstruction for fully 3-D PET. IEEE Trans. Med. Imag. 19 5 (2000) 493-506 (May)
32. Reilhac A., Lartizien C., Costes N., Sans S., Comtat C., Gunn R.N., and Evans A.C. PET-SORTEO: a Monte Carlo-based simulator with high count rate capabilities. IEEE Trans. Nucl. Sci. 51 1 (2004) 46-52 (Oct.)
33. Reilhac A., Batan G., Michel C., Grova C., Tohka J., Costes N., and Evans A.C. PET-SORTEO: validation and development of database of simulated PET volumes. IEEE Trans. Nucl. Sci. 52 5 (2005) 1321-1328 (Oct.)
34. 18F]MPPF PET acquisitions incorporating inter-individual anatomical and biological variability. IEEE Trans. Med. Imag. 25 11 (2006) 1431-1439 (Nov.)
35. Riddell C., Carson R.E., Carrasquillo J.A., Libutti S.K., Danforth D.N., Whatley M., and Bacharach S.L. Noise reduction in oncology FDG PET images by iterative reconstruction: a quantitative assessment. J. Nucl. Med. 42 9 (2001) 1316-1323 (Sep.)
36. Shepp L.A., and Vardi Y. Maximum likelihood reconstruction in positron emission tomography. IEEE Trans. Med. Imag. 1 2 (1982) 113-122
37. Soares E.J., Byrne C.L., and Glick S.J. Noise characterization of block-iterative reconstruction algorithms: I. Theory. IEEE Trans. Med. Imag. 19 4 (2000) 261-270 (Apr.)
38. Wang W., and Gindi G. Noise analysis of MAP-EM algorithms for emission tomography. Phys. Med. Biol. 42 11 (1997) 2215-2232 (Nov.)
39. Wang C.X., Snyder W.E., Bilbro G., and Santago P. Performance evaluation of filtered backprojection reconstruction and iterative reconstruction methods for PET images. Comput. Biol. Med. 28 1 (1998) 13-24 (Jan.)
40. Wilson D.W., Tsui B.M., and Barrett H.H. Noise properties of the EM algorithm: II. Monte Carlo simulations. Phys. Med. Biol. 39 5 (1994) 847-871
41. Yavuz M., and Fessler J.A. Objective functions for tomographic reconstruction for random-precorrected PET scans. IEEE Nucl. Sci. Symp. Conf. Rec. 2 (1996) 1067-1071