Abstract
The goal of this chapter is to provide the reader with a basic understanding of Positron Emission Tomography (PET) imaging and simultaneous PET and magnetic resonance (or PET/MR) imaging. These topics are presented with particular emphasis on PET as a molecular imaging tool and MRI as a structural and functional imaging tool. The chapter begins with an introduction to the underlying PET physics and a brief review of how data are acquired and reconstructed into 3D images. This includes common corrections that are applied to minimize image artifacts and improve accuracy, as well as a brief discussion of key advantages and limitations of PET and MRI and the benefits of combined PET/MR imaging. The strengths of PET as a molecular imaging technology are then presented in the context of in vivo imaging of protein targets that are relevant to schizophrenia and other neuropsychiatric disorders. This includes a basic review of PET pharmacokinetic methods used to evaluate radioligand-protein binding interactions and simpler and more feasible methods used for routine PET assessments. The final section presents a discussion of future directions and recent advances in PET/MR imaging applications.
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References
Badawi RD, Shi H, Hu P, Chen S, Xu T, Price PM, et al. First human imaging studies with the EXPLORER total-body PET scanner. J Nucl Med. 2019;60(3):299–303.
Bailey D. Data acquisition and performance characterization in PET. Positron emission tomography. New York: Springer; 2003. p. 10–31.
Beyer T, Schwenzer N, Bisdas S, Claussen C, Pichler B. MR/PET—hybrid imaging for the next decade. MAGNETOM Flash 3/2010; 2010. http://www.siemens.com/magnetom-world.
Carson R. Tracer kinetic modeling. In: Valk PE, Bailey DL, Townsend DW, Maisey MN, editors. Positron emission tomography basic science and clinical practice. Berlin: Springer; 2003. p. 147–79.
Catana C. Principles of simultaneous PET/MR imaging. Magn Reson Imaging Clin N Am. 2017;25(2):231–43.
Catana C, Procissi D, Wu Y, Judenhofer MS, Qi J, Pichler BJ, et al. Simultaneous in vivo positron emission tomography and magnetic resonance imaging. Proc Natl Acad Sci U S A. 2008;105(10):3705–10.
Catana C, Benner T, van der Kouwe A, Byars L, Hamm M, Chonde DB, et al. MRI-assisted PET motion correction for neurologic studies in an integrated MR-PET scanner. J Nucl Med. 2011;52(1):154–61.
Chen Y, An H. Attenuation correction of PET/MR imaging. Magn Reson Imaging Clin N Am. 2017;25(2):245–55.
Chen KT, Salcedo S, Chonde DB, Izquierdo-Garcia D, Levine MA, Price JC, et al. MR-assisted PET motion correction in simultaneous PET/MRI studies of dementia subjects. J Magn Reson Imaging. 2018;48(5):1288–96.
Collins D, Holmes C, Peters T, Evans A. Automatic 3-D model-based neuroanatomical segmentation. Hum Brain Mapp. 1995;3:190–208.
Cunningham V, Jones T. Spectral analysis of dynamic PET studies. J Cereb Blood Flow Metab. 1993;13:15–23.
Daube-Witherspoon ME, Surti S, Perkins A, Kyba CC, Wiener R, Werner ME, et al. The imaging performance of a LaBr3-based PET scanner. Phys Med Biol. 2010;55(1):45–64.
de Jong H, van Velden FHP, 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(5):1505–26.
Delso G, Furst S, Jakoby B, Ladebeck R, Ganter C, Nekolla SG, et al. Performance measurements of the Siemens mMR integrated whole-body PET/MR scanner. J Nucl Med. 2011;52(12):1914–22.
Erlandsson K, Buvat I, Pretorius PH, Thomas BA, Hutton BF. A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology. Phys Med Biol. 2012;57(21):R119–59.
Farde L, Wiesel FA, Hall H, Halldin C, Stone-Elander S, Sedvall G. No D2 receptor increase in PET study of schizophrenia. Arch Gen Psychiatry. 1987;44(7):671–2.
Feng D, Wong KP, Wu CM, Siu WC. A technique for extracting physiological parameters and the required input function simultaneously from PET image measurements: theory and simulation study. IEEE Trans Inf Technol Biomed. 1997;1(4):243–54.
Fischl B. FreeSurfer. Neuroimage. 2012;62(2):774–81.
Friston K. Statistical parametric mapping: the analysis of functional brain. Amsterdam/Boston: Elsevier/Academic Press; 2007. p. 10–31.
Fung EK, Carson RE. Cerebral blood flow with [15O]water PET studies using an image-derived input function and MR-defined carotid centerlines. Phys Med Biol. 2013;58(6):1903–23.
Geworski L, Knoop BO, de Wit M, Ivancevic V, Bares R, Munz DL. Multicenter comparison of calibration and cross calibration of PET scanners. J Nucl Med. 2002;43(5):635–9.
Geworski L, Knoop BO, Hofmann M, Zander A, de Wit M, Bares R, et al. Testing cross-calibration between positron emission tomographs and their peripheral devices. Z Med Phys. 2003;13(2):109–14.
Gilbert TM, Zurcher NR, Wu CJ, Bhanot A, Hightower BG, Kim M, et al. PET neuroimaging reveals histone deacetylase dysregulation in schizophrenia. J Clin Invest. 2019;129(1):364–72.
Grogg KS, Toole T, Ouyang J, Zhu X, Normandin MD, Li Q, et al. National electrical manufacturers association and clinical evaluation of a novel brain PET/CT scanner. J Nucl Med. 2016;57(4):646–52.
Gunn RN, Slifstein M, Searle GE, Price JC. Quantitative imaging of protein targets in the human brain with PET. Phys Med Biol. 2015;60(22):R363–411.
Hong SJ, Song I, Ito M, S Kwon, Lee G, Sim K-S, et al. An investigation into the use of geiger-mode solid-state photomultipliers for simultaneous PET and MRI acquisition. In: IEEE nuclear science symposium conference record; 2008.
Huang S, Phelps M, editors. Principles of tracer kinetic modeling in positron emission tomography and autoradiography. New York: Raven Press; 1986.
Huang S, Barrio J, Phelps M. Neuroreceptor assay with positron emission tomography: equilibrium versus dynamic approaches. J Cereb Blood Flow Metab. 1986;6:515–21.
Ichise M, Toyama H, Innis RB, Carson RE. Strategies to improve neuroreceptor parameter estimation by linear regression analysis. J Cereb Blood Flow Metab. 2002;22(10):1271–81.
Innis RB, Cunningham VJ, Delforge J, Fujita M, Gjedde A, Gunn RN, et al. Consensus nomenclature for in vivo imaging of reversibly binding radioligands. J Cereb Blood Flow Metab. 2007;27(9):1533–9.
Izquierdo-Garcia D, Catana C. MR imaging-guided attenuation correction of PET data in PET/MR imaging. PET Clin. 2016;11(2):129–49.
Jakoby BW, Bercier Y, Conti M, Casey ME, Bendriem B, Townsend DW. Physical and clinical performance of the mCT time-of-flight PET/CT scanner. Phys Med Biol. 2011;56(8):2375–89.
Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM. Fsl. Neuroimage. 2012;62(2):782–90.
Judenhofer MS, Wehrl HF, Newport DF, Catana C, Siegel SB, Becker M, et al. Simultaneous PET-MRI: a new approach for functional and morphological imaging. Nat Med. 2008;14(4):459–65.
Kinahan PE, Townsend DW, Beyer T, Sashin D. Attenuation correction for a combined 3D PET/CT scanner. Med Phys. 1998;25(10):2046–53.
Kinahan PE, Hasegawa BH, Beyer T. X-ray-based attenuation correction for positron emission tomography/computed tomography scanners. Semin Nucl Med. 2003;33(3):166–79.
Koeppe R. Data analysis and image processing. In: Wahl R, Buchanan J, editors. Principles and practice of positron emission tomography. Philadelphia: Lippincott Williams & Wilkins; 2002. p. 65–99.
Ladefoged CN, Law I, Anazodo U, St Lawrence K, Izquierdo-Garcia D, Catana C, et al. A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients. Neuroimage. 2017;147:346–59.
Landaw E, DiStefano J. Multiexponential, multicompartmental, and noncompartmental modeling. II. Data analysis and statistical considerations. Am J Physiol. 1984;246:R665–R77.
Laruelle M. Imaging synaptic neurotransmission with in vivo binding competition techniques: a critical review. J Cereb Blood Flow Metab. 2000;20:423–51.
Laruelle M, Slifstein M, Huang Y. Relationships between radiotracer properties and image quality in molecular imaging of the brain with positron emission tomography. Mol Imaging Biol. 2003;5(6):363–75.
Lassen N, Perl W. Tracer kinetic methods in medical physiology. New York: Raven Press; 1979. p. 104–8.
Levin CS, Maramraju SH, Khalighi MM, Deller TW, Delso G, Jansen F. Design features and mutual compatibility studies of the time-of-flight PET capable GE SIGNA PET/MR system. IEEE Trans Med Imaging. 2016;35(8):1907–14.
Logan J. Graphical analysis of PET data applied to reversible and irreversible tracers. Nucl Med Biol. 2000;27(7):661–70.
Logan J, Fowler JS, Volkow ND, Ding YS, Wang GJ, Alexoff DL. A strategy for removing the bias in the graphical analysis method. J Cereb Blood Flow Metab. 2001;21(3):307–20.
Lois C, Jakoby BW, Long MJ, Hubner KF, Barker DW, Casey ME, et al. An assessment of the impact of incorporating time-of-flight information into clinical PET/CT imaging. J Nucl Med. 2010;51(2):237–45.
Mandeville JB, Sander CYM, Jenkins BG, Hooker JM, Catana C, Vanduffel W, et al. A receptor-based model for dopamine-induced fMRI signal. Neuroimage. 2013;75:46–57.
Martinez-Moller A, Souvatzoglou M, Delso G, Bundschuh RA, Chefd’hotel C, Ziegler SI, et al. Tissue classification as a potential approach for attenuation correction in whole-body PET/MRI: evaluation with PET/CT data. J Nucl Med. 2009;50(4):520–6.
Meltzer C, Leal J, Mayberg H, Wagner H, Frost J. Correction of PET data for partial volume effect in human cerebral cortex by MR imaging. J Comput Assist Tomogr. 1990;14(4):561–70.
Michopoulou S, O’Shaughnessy E, Thomson K, Guy MJ. Discovery molecular imaging digital ready PET/CT performance evaluation according to the NEMA NU2–2012 standard. Nucl Med Commun. 2019;40(3):270–7.
Moses WW. Fundamental limits of spatial resolution in PET. Nucl Instrum Methods Phys Res A. 2011;648(Suppl 1):S236–S40.
Muller-Gartner 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(4):571–83.
Narayanaswami V, Dahl K, Bernard-Gauthier V, Josephson L, Cumming P, Vasdev N. Emerging PET radiotracers and targets for imaging of neuroinflammation in neurodegenerative diseases: outlook beyond TSPO. Mol Imaging. 2018;17:1–25.
Ogden RT, Zanderigo F, Choy S, Mann JJ, Parsey RV. Simultaneous estimation of input functions: an empirical study. J Cereb Blood Flow Metab. 2010;30(4):816–26.
Okubo Y, Suhara T, Suzuki K, Kobayashi K, Inoue O, Terasaki O, et al. Decreased prefrontal dopamine D1 receptors in schizophrenia revealed by PET. Nature. 1997;385(6617):634–6.
Pan T, Einstein S, Kappadath S, Grogg K, Lois C, Alessio A, et al. Performance evaluation of the 5-ring GE discovery MI PET/CT system using the NEMA NU 2–2012 Standard. Med Phys. 2019;46(7):3025–33.
Picard Y, Thompson CJ. Motion correction of PET images using multiple acquisition frames. IEEE Trans Med Imaging. 1997;16(2):137–44.
Pichler B, Lorenz E, Mirzoyan R, Pimpl W, Roder F, Schwaiger M, et al. Performance test of a LSO-APD PET module in a 9.4 Tesla magnet. In: IEEE nuclear science symposium conference record, Albuquerque, NM USA; 1977.
Pyatigorskaya N, Gallea C, Garcia-Lorenzo D, Vidailhet M, Lehericy S. A review of the use of magnetic resonance imaging in Parkinson’s disease. Ther Adv Neurol Disord. 2014;7(4):206–20.
Rausch I, Quick HH, Cal-Gonzalez J, Sattler B, Boellaard R, Beyer T. Technical and instrumentational foundations of PET/MRI. Eur J Radiol. 2017;94:A3–A13.
Rousset OG, Ma Y, Evans AC. Correction for partial volume effects in PET: principle and validation. J Nucl Med. 1998;39(5):904–11.
Sander CY, Hesse S. News and views on in-vivo imaging of neurotransmission using PET and MRI. Q J Nucl Med Mol Imaging. 2017;61(4):414–28.
Sander CY, Hooker JM, Catana C, Normandin MD, Alpert NM, Knudsen GM, et al. Neurovascular coupling to D2/D3 dopamine receptor occupancy using simultaneous PET/functional MRI. Proc Natl Acad Sci U S A. 2013;110(27):11169–74.
Sander CY, Hooker JM, Catana C, Rosen BR, Mandeville JB. Imaging agonist-induced D2/D3 receptor desensitization and internalization in vivo with PET/fMRI. Neuropsychopharmacology. 2016;41(5):1427–36.
Sari H, Erlandsson K, Law I, Larsson HB, Ourselin S, Arridge S, et al. Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel partial volume correction method. J Cereb Blood Flow Metab. 2017;37(4):1398–409.
Sari H, Erlandsson K, Marner L, Law I, Larsson HBW, Thielemans K, et al. Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with (11)C-SB201745. EJNMMI Res. 2018;8(1):58.
Schlemmer HP, Pichler BJ, Schmand M, Burbar Z, Michel C, Ladebeck R, et al. Simultaneous MR/PET imaging of the human brain: feasibility study. Radiology. 2008;248(3):1028–35.
Slifstein M, Laruelle M. Effects of statistical noise on graphic analysis of PET neuroreceptor studies. J Nucl Med. 2000;41(12):2083–8.
Su Y, Arbelaez AM, Benzinger TL, Snyder AZ, Vlassenko AG, Mintun MA, et al. Noninvasive estimation of the arterial input function in positron emission tomography imaging of cerebral blood flow. J Cereb Blood Flow Metab. 2013;33(1):115–21.
Sundar LK, Muzik O, Rischka L, Hahn A, Rausch I, Lanzenberger R, et al. Towards quantitative [18F]FDG-PET/MRI of the brain: automated MR-driven calculation of an image-derived input function for the non-invasive determination of cerebral glucose metabolic rates. J Cereb Blood Flow Metab. 2018;39(8):1516–30.
Talbot PS, Laruelle M. The role of in vivo molecular imaging with PET and SPECT in the elucidation of psychiatric drug action and new drug development. Eur Neuropsychopharmacol. 2002;12(6):503–11.
Townsend DW. Physical principles and technology of clinical PET imaging. Ann Acad Med Singapore. 2004;33(2):133–45.
Tziortzi AC, Searle GE, Tzimopoulou S, Salinas C, Beaver JD, Jenkinson M, et al. Imaging dopamine receptors in humans with [11C]-(+)-PHNO: Dissection of D3 signal and anatomy. Neuroimage. 2011;54(1):264–77.
Valk PE, Townsend DW, Bailey DB, Maisey MN, editors. Positron emission tomography basic science and clinical practice. Berlin: Springer; 2003.
van Sluis JJ, de Jong J, Schaar J, Noordzij W, van Snick P, Dierckx R, et al. Performance characteristics of the digital Biograph Vision PET/CT system. J Nucl Med. 2019;60(7):1031–6.
Watson C. New, faster, image-based scatter correction for 3D PET. IEEE Trans Nucl Sci. 2000;47(4):1587–94.
Wey HY, Catana C, Hooker JM, Dougherty DD, Knudsen GM, Wang DJ, et al. Simultaneous fMRI-PET of the opioidergic pain system in human brain. Neuroimage. 2014;102(Pt 2):275–82.
Wong DF, Wagner HN Jr, Tune LE, Dannals RF, Pearlson GD, Links JM, et al. Positron emission tomography reveals elevated D2 dopamine receptors in drug-naive schizophrenics. Science. 1986;234(4783):1558–63.
Wong KP, Feng D, Meikle SR, Fulham MJ. Simultaneous estimation of physiological parameters and the input function—in vivo PET data. IEEE Trans Inf Technol Biomed. 2001;5(1):67–76.
Yamamoto S, Watabe H, Kanai Y, Aoki M, Sugiyama E, Watabe T, et al. Interference between PET and MRI sub-systems in a silicon-photomultiplier-based PET/MRI system. Phys Med Biol. 2011;56(13):4147–59.
Zaidi H, Montandon ML. Scatter compensation techniques in PET. PET Clin. 2007;2(2):219–34.
Zhang J, Maniawski P, Knopp MV. Performance evaluation of the next generation solid-state digital photon counting PET/CT system. EJNMMI Res. 2018;8(1):97.
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Lois, C., Sari, H., Sidwell, A.B., Price, J.C. (2020). PET and PET/MRI Methods. In: Kubicki, M., Shenton, M. (eds) Neuroimaging in Schizophrenia . Springer, Cham. https://doi.org/10.1007/978-3-030-35206-6_7
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