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Simulation study of a high‐performance brain PET system with dodecahedral geometry

dc.contributor.authorTao, Weijie
dc.contributor.authorChen, Gaoyu
dc.contributor.authorWeng, Fenghua
dc.contributor.authorZan, Yunlong
dc.contributor.authorZhao, Zhixiang
dc.contributor.authorPeng, Qiyu
dc.contributor.authorXu, Jianfeng
dc.contributor.authorHuang, Qiu
dc.date.accessioned2018-08-13T18:50:40Z
dc.date.available2019-09-04T20:15:38Zen
dc.date.issued2018-07
dc.identifier.citationTao, Weijie; Chen, Gaoyu; Weng, Fenghua; Zan, Yunlong; Zhao, Zhixiang; Peng, Qiyu; Xu, Jianfeng; Huang, Qiu (2018). "Simulation study of a high‐performance brain PET system with dodecahedral geometry." Medical Physics 45(7): 3297-3304.
dc.identifier.issn0094-2405
dc.identifier.issn2473-4209
dc.identifier.urihttps://hdl.handle.net/2027.42/145295
dc.publisherWiley Periodicals, Inc.
dc.subject.otherMonte Carlo simulation
dc.subject.othersystem evaluation
dc.subject.otherdodecahedral PET system
dc.titleSimulation study of a high‐performance brain PET system with dodecahedral geometry
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/145295/1/mp12996_am.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/145295/2/mp12996.pdf
dc.identifier.doi10.1002/mp.12996
dc.identifier.sourceMedical Physics
dc.identifier.citedreferenceRademakers F, Brun R. ROOT: an object‐oriented data analysis framework. Nucl Instrum Methods Phys Res. 1998; 389: 81 – 86.
dc.identifier.citedreferenceSon YD, Kim HK, Kim ST, Kim NB, Kim YB, Cho ZH. Analysis of biased PET images caused by inaccurate attenuation coefficients. J Nucl Med. 2010; 51: 753 – 760.
dc.identifier.citedreferencePickut BA, Dierckx RA, Dobbeleir A, et al. Validation of the cerebellum as a reference region for SPECT quantification in patients suffering from dementia of the Alzheimer type. Psychiatry Res. 1999; 90: 103 – 112.
dc.identifier.citedreferenceChatziioannou A, Dahlbom M. Study of the effects of whole body PET spatial sampling schemes on data SNR. Nuclear Science Symposium Conference Record; 2002:1295–1299, vol. 2.
dc.identifier.citedreferenceGong K, Majewski S, Kinahan PE, et al. Designing a compact high performance brain PET scanner‐simulation study. Phys Med Biol. 2016; 61: 3681.
dc.identifier.citedreferenceTashima H, Yoshida E, Nishikido F, et al. Development of the helmet‐chin PET prototype. Nuclear Science Symposium and Medical Imaging Conference; 2016:1–3.
dc.identifier.citedreferenceTashima H, Yamaya T. Proposed helmet pet geometries with add‐on detectors for high sensitivity brain imaging. Phys Med Biol. 2016; 61: 7205.
dc.identifier.citedreferenceAhmed AM, Tashima H, Yoshida E, Yamaya T. Investigation of the optimal detector arrangement for the helmet‐chin PET – a simulation study. Nucl Instrum Methods Phys Res. 2017; 858: 96 – 100.
dc.identifier.citedreferenceAhmed AM, Tashima H, Yoshida E, Nishikido F, Yamaya T. Simulation study comparing the helmet‐chin PET with a cylindrical PET of the same number of detectors. Phys Med Biol. 2017; 62: 4541.
dc.identifier.citedreferenceMoghaddam NM, Karimian A, Mostajaboddavati SM, Vondervoort E, Sossi V. Preliminary design and simulation of a spherical brain PET system (SBPET) with liquid xenon as scintillator. Nukleonika. 2009; 54: 33 – 38.
dc.identifier.citedreferenceBao Q, Cho S, Li Q, Newport D. Monte Carlo based estimation of detector response in a large solid angle Preclinical PET imaging system. IEEE Nuclear Science Symposium Conference Record; 2008:5010–5013.
dc.identifier.citedreferenceShi H, Du D, Xu J, Su Z, Peng Q. Design study of dedicated brain PET with polyhedron geometry. Technol Health Care. 2015; 23: S615.
dc.identifier.citedreferenceJan S, Santin G, Strul D, et al. Gate: a simulation toolkit for PET and SPECT. Phys Med Biol. 2004; 49: 4543.
dc.identifier.citedreferenceKao CM, Dong Y, Xie Q. Evaluation of 3D image reconstruction methods for a dual‐head small‐animal PET scanner. Nuclear Science Symposium Conference Record; 2008:3046–3050.
dc.identifier.citedreferenceKao CM, Pan X, Chen CT. Accurate image reconstruction using DOI information and its implications for the development of compact PET systems. IEEE Trans Nucl Sci. 2002; 47: 1551 – 1560.
dc.identifier.citedreferenceJaszczak RJ. Nuclear imaging phantom. US 4499375 A; 1985.
dc.identifier.citedreferenceHoffman EJ, Cutler PD, Digby WM, Mazziotta JC. 3‐D phantom to simulate cerebral blood flow and metabolic images for PET. IEEE Trans Nucl Sci. 1990; 37: 616 – 620.
dc.identifier.citedreferenceHuesman RH, Klein GJ, Moses WW, Qi J. List‐mode maximum‐likelihood reconstruction applied to positron emission mammography (PEM) with irregular sampling. IEEE Trans Med Imaging. 2000; 19: 532 – 537.
dc.identifier.citedreferenceJan S, Comtat C, Strul D, Stantin G, Trebossen R. Monte Carlo simulation for the ECAT EXACT HR+ system using GATE. Trans Nucl Sci. 2005; 52: 627 – 633.
dc.identifier.citedreferenceRausch I, Cal‐González J, Dapra D, et al. Performance evaluation of the Biograph mCT Flow PET/CT system according to the NEMA NU2‐2012 standard. Ejnmmi Phys. 2015; 2: 1 – 17.
dc.identifier.citedreferenceThielemans K, Tsoumpas C, Mustafovic S, et al. STIR: software for tomographic image reconstruction release 2. Nuclear Science Symposium Conference Record. IEEE, 2174‐2176; 2012.
dc.identifier.citedreferenceStrother SC, Casey ME, Hoffman EJ. Measuring PET scanner sensitivity: relating countrates to image signal‐to‐noise ratios using noise equivalents counts. IEEE Trans Nucl Sci. 1990; 37: 783 – 788.
dc.identifier.citedreferenceHart HJ, Bottomley PA, Edelstein WA, et al. Nuclear magnetic resonance imaging: contrast‐to‐noise ratio as a function of strength of magnetic field. Magn Reson Imaging. 1983; 2: 1195.
dc.identifier.citedreferenceCho ZH, Son YD, Choi EJ, et al. In‐vivo human brain molecular imaging with a brain‐dedicated PET/MRI system. Magn Reson Mater Phy. 2013; 26: 71 – 79.
dc.identifier.citedreferenceKarp JS, Surti S, Freifelder R, et al. Performance of a GSO brain PET camera. Nuclear Science Symposium Conference Record; 2000:17/7‐1711, vol. 3.
dc.identifier.citedreferenceCho ZH, Hong KS, Hilal SK. Spherical positron emission tomograph (S‐PET) I ‐ performance analysis. Nucl Instrum Methods Phys Res. 1984; 225: 422 – 438.
dc.identifier.citedreferenceReske SN, Kotzerke J. FDG‐PET for clinical use. Eur J Nucl Med. 2001; 28: 1707 – 1723.
dc.identifier.citedreferenceSossi V, De Jong HWAM, Barker WC, Bloomfield P. The second generation HRRT ‐ a multi‐centre scanner performance investigation. Nuclear Science Symposium Conference Record; 2005:2195–2199.
dc.identifier.citedreferenceDe 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 – 1526.
dc.identifier.citedreferenceOmura T, Moriya T, Yamada R, et al. Development of a high‐resolution four‐layer DOI detector using MPPCs for brain PET. Nuclear Science Symposium and Medical Imaging Conference; 2012:3560–3563.
dc.identifier.citedreferenceWatanabe M, Saito A, Isobe T, et al. Performance evaluation of a high‐resolution brain PET scanner using four‐layer MPPC DOI detectors. Phys Med Biol. 2017; 62: 7148.
dc.identifier.citedreferencePajak MZ, Volgyes D, Pimlott SL, et al. NEMA NU4‐2008 performance evaluation of Albira: a two‐ring small‐animal PET system using continuous LYSO crystals. Open Med J. 2016; 3: 12 – 26.
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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