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European Journal of Nuclear Medicine and Molecular Imaging

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01-10-2009 | Original Article

Advancement in PET quantification using 3D-OP-OSEM point spread function reconstruction with the HRRT

Authors: Andrea Varrone, Nils Sjöholm, Lars Eriksson, Balazs Gulyás, Christer Halldin, Lars Farde

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 10/2009

Abstract

Purpose

Image reconstruction including the modelling of the point spread function (PSF) is an approach improving the resolution of the PET images. This study assessed the quantitative improvements provided by the implementation of the PSF modelling in the reconstruction of the PET data using the High Resolution Research Tomograph (HRRT).

Methods

Measurements were performed on the NEMA-IEC/2001 (Image Quality) phantom for image quality and on an anthropomorphic brain phantom (STEPBRAIN). PSF reconstruction was also applied to PET measurements in two cynomolgus monkeys examined with [¹⁸F]FE-PE2I (dopamine transporter) and with [¹¹C]MNPA (D₂ receptor), and in one human subject examined with [¹¹C]raclopride (D₂ receptor).

Results

PSF reconstruction increased the recovery coefficient (RC) in the NEMA phantom by 11–40% and the grey to white matter ratio in the STEPBRAIN phantom by 17%. PSF reconstruction increased binding potential (BP _ND) in the striatum and midbrain by 14 and 18% in the [¹⁸F]FE-PE2I study, and striatal BP _ND by 6 and 10% in the [¹¹C]MNPA and [¹¹C]raclopride studies.

Conclusion

PSF reconstruction improved quantification by increasing the RC and thus reducing the partial volume effect. This method provides improved conditions for PET quantification in clinical studies with the HRRT system, particularly when targeting receptor populations in small brain structures.

de Jong HW, van Velden FH, Kloet RW, Buijs FL, Boellaard R, Lammertsma AA. Performance evaluation of the ECAT HRRT: an LSO-LYSO double layer high resolution, high sensitivity scanner. Phys Med Biol 2007;52:1505–26. doi:10.1088/0031-9155/52/5/019.PubMedCrossRef

Heiss WD, Habedank B, Klein JC, Herholz K, Wienhard K, Lenox M, et al. Metabolic rates in small brain nuclei determined by high-resolution PET. J Nucl Med 2004;45:1811–5.PubMed

Horti AG, Fan H, Kuwabara H, Hilton J, Ravert HT, Holt DP, et al. 11C-JHU75528: a radiotracer for PET imaging of CB1 cannabinoid receptors. J Nucl Med 2006;47:1689–96.PubMed

Leroy C, Comtat C, Trébossen R, Syrota A, Martinot JL, Ribeiro MJ. Assessment of 11C-PE2I binding to the neuronal dopamine transporter in humans with the high-spatial-resolution PET scanner HRRT. J Nucl Med 2007;48:538–46. doi:10.2967/jnumed.106.037283.PubMedCrossRef

Hirvonen J, Johansson J, Teräs M, Oikonen V, Lumme V, Virsu P, et al. Measurement of striatal and extrastriatal dopamine transporter binding with high-resolution PET and [(11) C]PE2I: quantitative modeling and test-retest reproducibility. J Cereb Blood Flow Metab 2008;28:1059–69. doi:10.1038/sj.jcbfm.9600607.PubMedCrossRef

Panin VY, Kehren F, Michel C, Casey M. Fully 3-D PET reconstruction with system matrix derived from point source measurements. IEEE Trans Med Imaging 2006;25:907–21. doi:10.1109/TMI.2006.876171.PubMedCrossRef

Sureau FC, Reader AJ, Comtat C, Leroy C, Ribeiro MJ, Buvat I, et al. Impact of image-space resolution modeling for studies with the high-resolution research tomograph. J Nucl Med 2008;49:1000–8. doi:10.2967/jnumed.107.045351.PubMedCrossRef

Quarantelli M, Berkouk K, Prinster A, Landeau B, Svarer C, Balkay L, et al. Integrated software for the analysis of brain PET/SPECT studies with partial-volume-effect correction. J Nucl Med 2004;45:192–201.PubMed

Rousset OG, Ma Y, Evans AC. Correction for partial volume effects in PET: principle and validation. J Nucl Med 1998;39:904–11.PubMed

10.

Rousset OG, Deep P, Kuwabara H, Evans AC, Gjedde AH, Cumming P. Effect of partial volume correction on estimates of the influx and cerebral metabolism of 6-[(18) F]fluoro-L-dopa studied with PET in normal control and Parkinson’s disease subjects. Synapse 2000;37:81–9. doi:10.1002/1098-2396(200008) 37:2<81::AID-SYN1>3.0.CO;2-#.PubMedCrossRef

11.

Müller-Gärtner HW, Links JM, Prince JL, Bryan RN, McVeigh E, Leal JP, et al. Measurement of radiotracer concentration in brain gray matter using positron emission tomography: MRI-based correction for partial volume effects. J Cereb Blood Flow Metab 1992;12:571–83.PubMed

12.

Hong IK, Chung ST, Kim HK, Kim YB, Son YD, Cho ZH. Ultra fast symmetry and SIMD-based projection-backprojection (SSP) algorithm for 3-D PET image reconstruction. IEEE Trans Med Imaging 2007;26:789–803. doi:10.1109/TMI.2007.892644.PubMedCrossRef

13.

Comtat C, Sureau FC, Sibomana M, Hong IK, Sjöholm N, Trébossen R. Image based resolution modeling for the HRRT OSEM reconstructions software. Paper presented at: IEEE Nuclear Science Symposium Conference Record, 2008; Dresden, Germany.

14.

Joseph PM. An improved algorithm for reprojecting rays through pixel images. IEEE Trans Med Imaging 1982;1:192–6. doi:10.1109/TMI.1982.4307572.PubMedCrossRef

15.

Daube-Witherspoon ME, Karp JS, Casey ME, DiFilippo FP, Hines H, Muehllehner G, et al. PET performance measurements using the NEMA NU 2–2001 standard. J Nucl Med 2002;43:1398–409.PubMed

16.

Reilhac A, Tomeï S, Buvat I, Michel C, Keheren F, Costes N. Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies. Neuroimage 2008;39:359–68. doi:10.1016/j.neuroimage.2007.07.038.PubMedCrossRef

17.

Alfano B, Prinster A, Quarantelli M, Brunetti A, Salvatore M. STEPBRAIN: A stereolitographed phantom of the brain for nuclear medicine, computed tomography, and magnetic resonance applications. Paper presented at: RSNA, 2003.

18.

Odano I, Halldin C, Karlsson P, Varrone A, Airaksinen AJ, Krasikova RN, et al. [(18)F]Flumazenil binding to central benzodiazepine receptor studies by PET—quantitative analysis and comparisons with [(11)C]flumazenil. Neuroimage 2009;45:891–902.PubMedCrossRef

19.

Clark JD, Gebhart GF, Gonder JC, Keeling ME, Kohn DF. Special Report: The 1996 Guide for the Care and Use of Laboratory Animals. ILAR J 1997;38:41–8.PubMed

20.

Varrone A, Steiger C, Schou M, Takano A, Finnema SJ, Guilloteau D, et al. In vitro autoradiography and in vivo evaluation in cynomolgus monkey of [18F]FE-PE2I, a new dopamine transporter PET radioligand. Synapse. 2009; In press.

21.

Finnema SJ, Seneca N, Farde L, Shchukin E, Sóvágó J, Gulyás B, et al. A preliminary PET evaluation of the new dopamine D2 receptor agonist [11C]MNPA in cynomolgus monkey. Nucl Med Biol 2005;32:353–60. doi:10.1016/j.nucmedbio.2005.01.007.PubMedCrossRef

22.

Karlsson P, Farde L, Halldin C, Swahn CG, Sedvall G, Foged C, et al. PET examination of [11C]NNC 687 and [11C]NNC 756 as new radioligands for the D1-dopamine receptor. Psychopharmacology (Berl) 1993;113:149–56. doi:10.1007/BF02245691.CrossRef

23.

Lammertsma AA, Hume SP. Simplified reference tissue model for PET receptor studies. Neuroimage 1996;4:153–8. doi:10.1006/nimg.1996.0066.PubMedCrossRef

24.

Farde L, Hall H, Ehrin E, Sedvall G. Quantitative analysis of D2 dopamine receptor binding in the living human brain by PET. Science 1986;231:258–61. doi:10.1126/science.2867601.PubMedCrossRef

25.

Bergström M, Boëthius J, Eriksson L, Greitz T, Ribbe T, Widén L. Head fixation device for reproducible position alignment in transmission CT and positron emission tomography. J Comput Assist Tomogr 1981;5:136–41. doi:10.1097/00004728-198102000-00027.PubMedCrossRef

26.

Roland PE, Graufelds CJ, Wahlin J, Ingelman L, Andersson M, Ledberg A, et al. Human brain atlas: for high-resolution functional and anatomical mapping. Hum Brain Mapp 1994;1:173–84. doi:10.1002/hbm.460010303.CrossRef

27.

Giovacchini G, Toczek MT, Bonwetsch R, Bagic A, Lang L, Fraser C, et al. 5-HT 1A receptors are reduced in temporal lobe epilepsy after partial-volume correction. J Nucl Med 2005;46:1128–35.PubMed

28.

Hasselbalch SG, Madsen K, Svarer C, Pinborg LH, Holm S, Paulson OB, et al. Reduced 5-HT2A receptor binding in patients with mild cognitive impairment. Neurobiol Aging 2008;29:1830–8. doi:10.1016/j.neurobiolaging.2007.04.011.PubMedCrossRef

Title: Advancement in PET quantification using 3D-OP-OSEM point spread function reconstruction with the HRRT
Authors: Andrea Varrone
Nils Sjöholm
Lars Eriksson
Balazs Gulyás
Christer Halldin
Lars Farde
Publication date: 01-10-2009
Publisher: Springer-Verlag
Published in: European Journal of Nuclear Medicine and Molecular Imaging / Issue 10/2009
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI: https://doi.org/10.1007/s00259-009-1156-3

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Advancement in PET quantification using 3D-OP-OSEM point spread function reconstruction with the HRRT

Abstract

Purpose

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusion

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