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As a companion journal to the European Journal of Nuclear Medicine and Molecular Imaging, this journal has a multi-disciplinary approach and welcomes original materials and studies with a focus on applied physics and mathematics as well as imaging systems engineering and prototyping in nuclear medicine. This includes physics-driven approaches or algorithms supported by physics that foster early clinical adoption of nuclear medicine imaging and therapy. EJNMMI Physics publishes original research articles, reviews, case reports, commentaries, and short communications, as well as article types with unique submission criteria, Young Investigator Articles and Teaching Files.","PUBLISHER","PENDING",null,3,[26,32,38,44],{"id":27,"createTime":23,"updateTime":23,"relativeEntities":28,"label":29,"description":31,"parentId":23,"standard":23,"scholarHubFieldId":23},"e8fbc4e0-9522-4354-a98f-7f288efdcb2a",[],{"EN":30},"Radiology, Nuclear Medicine and Imaging",{},{"id":33,"createTime":23,"updateTime":23,"relativeEntities":34,"label":35,"description":37,"parentId":23,"standard":23,"scholarHubFieldId":23},"0d971a72-32b3-4406-aae7-7a4f741226dc",[],{"EN":36},"Radiation",{},{"id":39,"createTime":23,"updateTime":23,"relativeEntities":40,"label":41,"description":43,"parentId":23,"standard":23,"scholarHubFieldId":23},"ffc13648-0fbc-4664-b83e-4b3b3abeb01f",[],{"EN":42},"Biomedical Engineering",{},{"id":45,"createTime":23,"updateTime":23,"relativeEntities":46,"label":47,"description":49,"parentId":23,"standard":23,"scholarHubFieldId":23},"0613bdb5-2cd7-44ac-a246-e741e7fe3b12",[],{"EN":48},"Instrumentation",{},[51,58],{"id":52,"createTime":23,"updateTime":23,"relativeEntities":53,"slug":23,"properties":54,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":57,"statistic":23},"26a19206-5cad-4456-bb2f-49abd254fbc6",[],{"title":55},{"EN":56},"SPRINGER",[],{"id":59,"createTime":23,"updateTime":23,"relativeEntities":60,"slug":23,"properties":61,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":64,"statistic":23},"ca0dc894-2cfd-4536-8558-d78518e3e721",[],{"title":62},{"EN":63},"Springer International Publishing AG",[65],"9a7c7208-b28a-42c2-a634-5a7f90eee3ab",[67,87],{"id":68,"indexDatabase":69,"url":79,"indexYears":80,"academicFieldIds":81,"indexDatabaseRanking":86},"82e48e01-8858-4d03-b451-cb38a53f1efc",{"id":70,"createTime":23,"updateTime":23,"relativeEntities":71,"label":72,"description":74,"key":76,"publicationTags":77,"standard":23},"3c7051d4-eb7d-4c57-a56b-36fc74c5d1e9",[],{"EN":73,"VI":73},"Scopus - Elsevier",{"EN":73,"VI":75},"Cơ sở dữ liệu Scopus thuộc Elsevier","scopus",[78],"SCOPUS","https:\u002F\u002Fwww.scopus.com\u002Fsourceid\u002F21100440520","2014-2025",[82,83,84,85],"920e4aa8-a8d2-44a1-a417-38b5d792a432","3473dbec-c53d-4463-88f5-866ed6297f33","feafc710-e1d7-49d0-b810-e0bb0c42311e","a2541f09-5a54-41e7-820b-effbd7bac237","SCOPUS__Q1",{"id":88,"indexDatabase":89,"url":101,"indexYears":23,"academicFieldIds":102,"indexDatabaseRanking":23},"412632ed-1db5-4792-8706-6450a34d4d92",{"id":90,"createTime":23,"updateTime":23,"relativeEntities":91,"label":92,"description":94,"key":97,"publicationTags":98,"standard":23},"a4921856-b128-4d9f-8f1f-e80813d3bbd4",[],{"EN":93,"VI":93},"ISI\u002FSCIE - Science Citation Index Expanded",{"EN":95,"VI":96},"SCIE database","Cơ sở dữ liệu SCIE","scie",[99,100],"SCIE","ISI","https:\u002F\u002Fmjl.clarivate.com\u002Fsearch-results?issn=2197-7364",[103],"80b08079-ffdc-4da1-b3fe-7d13758975d8","https:\u002F\u002Fejnmmiphys.springeropen.com\u002F",{"impactFactor":106,"impactFactorByYear":107,"i10Index":106,"i10IndexLast5Year":106,"totalPublication":108,"totalPublicationByYear":109,"totalCitation":106,"totalCitationByYear":120,"totalCitationPerPublication":106,"totalCitationPerPublicationByYear":121,"hindexLast5Year":106,"hindex":106},0,{},330,{"2014":110,"2015":111,"2016":112,"2017":112,"2018":113,"2019":114,"2020":115,"2021":116,"2022":117,"2023":118,"2024":119},58,63,13,21,12,30,38,33,45,4,{},{},{"meta":123,"data":125},{"total":124},"505",[126,287,552,703,977,1143,1317,1411,1571,1785],{"id":127,"createTime":128,"updateTime":129,"relativeEntities":130,"slug":131,"properties":132,"entityType":143,"verifyStatus":144,"verifyTime":145,"verifyNote":146,"languages":23,"translateLanguages":23,"viewCount":106,"primaryUrl":147,"fullTextUrl":23,"authors":148,"publicationType":220,"publisherRelationship":221,"citationCount":23,"citationInfo":23,"publishDate":282,"publishYear":283,"citationAnalyzeStatus":22,"lastCitationAnalyze":284,"indexDatabases":285,"openAccess":23,"references":23,"isForceReanalyzing":286},"edd0e78c-2d7c-4003-8146-eb8b2940f790","2023-12-06T09:53:42.574+00:00","2026-07-16T19:56:07.467+00:00",[],"Accurate-image-derived-input-function-in-18F-SynVesT-1-mouse-studies-using-isoflurane-and-ketamine-xylazine-anesthesia",{"abstract":133,"title":135,"gsPaper":137,"references":139,"doi":141},{"EN":134},"Kinetic modeling in positron emission tomography (PET) requires measurement of the tracer plasma activity in the absence of a suitable reference region. To avoid invasive blood sampling, the use of an image derived input function has been proposed. However, an accurate delineation of the blood pool region in the PET image is necessary to obtain unbiased blood activity. Here, to perform brain kinetic modeling in [18F]SynVesT-1 dynamic scans, we make use of non-negative matrix factorization (NMF) to unmix the activity signal from the different tissues that can contribute to the heart region activity, and extract only the left ventricle activity in an unbiased way. This method was implemented in dynamic [18F]SynVesT-1 scans of mice anesthetized with either isoflurane or ketamine–xylazine, two anesthestics that we showed to affect differently radiotracer kinetics. The left ventricle activity (NMF-IDIF) and a manually delineated cardiac activity (IDIF) were compared with arterial blood samples (ABS), and for isoflurane anesthetized mice, arteriovenous (AV) shunt blood data were compared as well. Finally, brain regional 2 tissue compartment modeling was performed using IDIF and NMF-IDIF, and the model fit accuracy (weighted symmetrical mean absolute percentage error, wsMAPE) as well as the total volume of distribution (VT) were compared. In isoflurane anesthetized mice, the difference between ABS and NMF-IDIF activity (+ 12.8 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 11%, p = 0.0023) was smaller than with IDIF (+ 16.4 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 9.8%, p = 0.0008). For ketamine–xylazine anesthetized mice the reduction in difference was larger (NMF-IDIF: 16.9 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 10%, p = 0.0057, IDIF: 56.3 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 14%, p \u003C 0.0001). Correlation coefficient between isoflurane AV-shunt time activity curves and NMF-IDIF (0.97 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 0.01) was higher than with IDIF (0.94 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 0.03). The brain regional 2TCM wsMAPE was improved using NMF-IDIF compared with IDIF, in isoflurane (NMF-IDIF: 1.24 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 0.24%, IDIF: 1.56 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 0.30%) and ketamine–xylazine (NMF-IDIF: 1.40 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 0.24, IDIF: 2.62 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 0.27) anesthetized mice. Finally, brain VT was significantly (p \u003C 0.0001) higher using NMF-IDIF compared with IDIF, in isoflurane (3.97 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 0.13% higher) and ketamine–xylazine (32.7 \n                  \n                    \n                  \n                  $$\\pm$$\n                  \n                 2.4% higher) anesthetized mice. Image derived left ventricle blood activity calculated with NMF improves absolute activity quantification, and reduces the error in the kinetic modeling fit. These improvements are more pronounced in ketamine–xylazine than in isoflurane anesthetized mice.",{"EN":136},"Accurate image derived input function in [18F]SynVesT-1 mouse studies using isoflurane and ketamine\u002Fxylazine anesthesia",{"VOID":138},"[\"2399295895605585711\"]",{"VOID":140},"Innis RB, Cunningham VJ, Delforge J, et al. Consensus nomenclature for in vivo imaging of reversibly binding radioligands. J Cereb Blood Flow Metab. 2007;27:1533–9.\nMourik JE, Lubberink M, Schuitemaker A, et al. Image-derived input functions for PET brain studies. Eur J Nucl Med Mol Imaging. 2009;36:463–71.\nVerhaeghe J, Bertoglio D, Kosten L, et al. Noninvasive relative quantification of [C-11]ABP688 PET imaging in mice versus an input function measured over an arteriovenous shunt. Front Neurol. 2018;9:516.\nBertoglio D, Zajicek F, De Lombaerde S, et al. Validation, kinetic modeling, and test-retest reproducibility of [18F]SynVesT-1 for PET imaging of synaptic vesicle glycoprotein 2A in mice. J Cereb Blood Flow Metab. 2022;42(10):1867–78.\nThackeray JT, Bankstahl JP, Bengel FM. Impact of image-derived input function and fit time intervals on patlak quantification of myocardial glucose uptake in mice. J Nucl Med. 2015;56:1615–21.\nBertoglio D, Verhaeghe J, Korat S, et al. In vitro and in vivo assessment of suitable reference region and kinetic modelling for the mGluR1 radioligand [(11)C]ITDM in Mice. Mol Imaging Biol. 2020;22:854–63.\nKim J, Herrero P, Sharp T, et al. Minimally invasive method of determining blood input function from PET images in rodents. J Nucl Med. 2006;47:330–6.\nMabrouk R, Dubeau F, Bentabet L. Dynamic cardiac PET imaging: extraction of time-activity curves using ICA and a generalized Gaussian distribution model. IEEE Trans Biomed Eng. 2013;60:63–71.\nMu W, Chen Z, Dai XQ, Tian J. Noninvasive estimation of the input function for dynamic mouse F-18-FDG MicroPET studies. IEEE Trans Bio-Med Eng. 2013;60:3103–12.\nSarrhini O, D’Orleans-Juste P, Rousseau JA, Beaudoin JF, Lecomte R. Enhanced extraction of blood and tissue time-activity curves in cardiac mouse FDG PET imaging by means of constrained nonnegative matrix factorization. Int J Biomed Imaging. 2023;2023:5366733.\nSerrano ME, Kim E, Petrinovic MM, Turkheimer F, Cash D. Imaging synaptic density: The next holy grail of neuroscience? Front Neurosci. 2022;16: 796129.\nMiranda A, Bertoglio D, De Weerdt C, Staelens S, Verhaeghe J. Isoflurane and ketamine-xylazine modify pharmacokinetics of [(18)F]SynVesT-1 in the mouse brain. J Cereb Blood Flow Metab. 2023. https:\u002F\u002Fdoi.org\u002F10.1177\u002F0271678X231173185.\nMiranda A, Bertoglio D, Glorie D, Stroobants S, Staelens S, Verhaeghe J. Validation of a spatially variant resolution model for small animal brain PET studies. Biomed Phys Eng Express. 2020;6: 045001.\nHafshejani SF, Moaberfard Z. Initialization for non-negative matrix factorization: a comprehensive review. Int J Data Sci Anal. 2022.\nPlumbley MD. Algorithms for nonnegative independent component analysis. IEEE Trans Neural Netw. 2003;14:534–43.\nKitamura D and Ono N. Efficient initialization for nonnegative matrix factorization based on nonnegative independent component analysis. In: 2016 IEEE International workshop on acoustic signal enhancement (Iwaenc). 2016.\nKhair U, Fahmi H, Al Hakim S, Rahim R. Forecasting error calculation with mean absolute deviation and mean absolute percentage error. J Phys Conf Ser. 2017;930:012002.\nMaisog JM, DeMarco AT, Devarajan K, Young S, Fogel P, Luta G. Assessing methods for evaluating the number of components in non-negative matrix factorization. Math Basel. 2021;9:2840.\nKober F, Iltis I, Cozzone PJ, Bernard M. Cine-MRI assessment of cardiac function in mice anesthetized with ketamine\u002Fxylazine and isoflurane. MAGMA. 2004;17:157–61.\nKober F, Iltis I, Cozzone PJ, Bernard M. Myocardial blood flow mapping in mice using high-resolution spin labeling magnetic resonance imaging: influence of ketamine\u002Fxylazine and isoflurane anesthesia. Magn Reson Med. 2005;53:601–6.\nPachon RE, Scharf BA, Vatner DE, Vatner SF. Best anesthetics for assessing left ventricular systolic function by echocardiography in mice. Am J Physiol Heart Circ Physiol. 2015;308:H1525–9.\nWu HM, Kreissl MC, Schelbert HR, et al. First-pass angiography in mice using FDG-PET: a simple method of deriving the cardiovascular transit time without the need of region-of-interest drawing. IEEE Trans Nucl Sci. 2005;52:1311–5.\nWarnock G, Bahri MA, Goblet D, et al. Use of a beta microprobe system to measure arterial input function in PET via an arteriovenous shunt in rats. 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In total, 6702 PET\u002FCT and 2502 gamma camera scans were inspected, from which 8581 were confirmed as valid patient study without errors. Discrepancies related to the lack of a parameter, not appropriate format, or improper scan procedures were found in 623 cases, and 156 out of these were corrected before the medical reading and reporting. SOP non-conformities explored with Q-Bot were found to be non-correctable in 467 cases. Systematic errors to our practice turned out to be the manual radiopharmaceutical injection, the allowance to use both SI and non-SI units, and the clear definition of decimal point symbol to use. The daily evaluation of Q-Bot results provided early detection of errors and consequently ensured the minimization of error propagation. 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Carlo-based iterative reconstruction to correct for photon scatter and collimator effects has been proven to be superior over analytical correction schemes in single-photon emission computed tomography (SPECT\u002FCT), but it is currently not commonly used in daily clinical practice due to the long associated reconstruction times. We propose to use a convolutional neural network (CNN) to upgrade fast filtered back projection (FBP) image quality so that reconstructions comparable in quality to the Monte Carlo-based reconstruction can be obtained within seconds. A total of 128 technetium-99m macroaggregated albumin pre-treatment SPECT\u002FCT scans used to guide hepatic radioembolization were available. Four reconstruction methods were compared: FBP, clinical reconstruction, Monte Carlo-based reconstruction, and the neural network approach. The CNN generated reconstructions in 5 sec, whereas clinical reconstruction took 5 min and the Monte Carlo-based reconstruction took 19 min. The mean squared error of the neural network approach in the validation set was between that of the Monte Carlo-based and clinical reconstruction, and the lung shunting fraction difference was lower than 2 percent point. A phantom experiment showed that quantitative measures required in radioembolization were accurately retrieved from the CNN-generated reconstructions. FBP with an image enhancement neural network provides SPECT reconstructions with quality close to that obtained with Monte Carlo-based reconstruction within seconds.",{"EN":1153},"Accelerated SPECT image reconstruction with FBP and an image enhancement convolutional neural network",{"VOID":1155},"Cherry SR, Sorenson JA, Phelps ME. Tomographic reconstruction in nuclear medicine. In: Physics in Nuclear Medicine. 4th ed: Saunders; 2012. p. 270–1.\ncitation_journal_title=Phys Med Biol; citation_title=Monte Carlo-based SPECT reconstruction within the SIMIND framework; citation_author=J Gustafsson, G Brolin, M Ljungberg; citation_volume=63; citation_publication_date=2018; citation_pages=245012; citation_doi=10.1088\u002F1361-6560\u002Faaf0f1; citation_id=CR2\ncitation_journal_title=Med Phys; citation_title=Improved quantitative 90Y bremsstrahlung SPECT\u002FCT reconstruction with Monte Carlo scatter modeling; citation_author=YK Dewaraja, SY Chun, RN Srinivasa; citation_volume=44; citation_issue=12; citation_publication_date=2017; citation_pages=6364-6376; citation_doi=10.1002\u002Fmp.12597; citation_id=CR3\ncitation_journal_title=Med Image Anal.; citation_title=A survey on deep learning in medical image analysis; citation_author=G Litjens, T Kooi, BE Bejnordi; citation_volume=42; citation_publication_date=2017; citation_pages=60-88; citation_doi=10.1016\u002Fj.media.2017.07.005; citation_id=CR4\ncitation_journal_title=Am J Clin Oncol Cancer Clin Trials.; citation_title=Radioembolization for the treatment of liver tumors: general principles; citation_author=A Kennedy, D Coldwell, B Sangro, H Wasan, R Salem; citation_volume=35; citation_issue=1; citation_publication_date=2012; citation_pages=91-99; citation_doi=10.1097\u002FCOC.0b013e3181f47583; citation_id=CR5\ncitation_journal_title=Eur J Nucl Med Mol Imaging.; citation_title=Same-day 90Y radioembolization: implementing a new treatment paradigm; citation_author=A Gabr, JR Kallini, VL Gates; citation_volume=43; citation_issue=13; citation_publication_date=2016; citation_pages=2353-2359; citation_doi=10.1007\u002Fs00259-016-3438-x; citation_id=CR6\ncitation_journal_title=Radiology; citation_title=A dual-layer detector for simultaneous fluoroscopic and nuclear imaging; citation_author=S Velden, B Kunnen, WJC Koppert; citation_volume=290; citation_issue=3; citation_publication_date=2019; citation_pages=833-838; citation_doi=10.1148\u002Fradiol.2018180796; citation_id=CR7\ncitation_journal_title=Phys Med Biol.; citation_title=Performance of a dual-layer scanner for hybrid SPECT\u002FCBCT; citation_author=MMA Dietze, B Kunnen, S Velden, JHL Steenbergen, WJC Koppert, MA Viergever, HWAM Jong; citation_volume=64; citation_publication_date=2019; citation_pages=105020; citation_doi=10.1088\u002F1361-6560\u002Fab15f6; citation_id=CR8\nDietze MMA, Bastiaannet R, Kunnen B, Van der Velden S, Lam MGEH, Viergever MA, De Jong HWAM. Respiratory motion compensation in interventional liver SPECT using simultaneous fluoroscopic and nuclear imaging. Med Phys. 2019.\ncitation_journal_title=IEEE Trans Nucl Sci.; citation_title=Acceleration of Monte Carlo SPECT simulation using convolution-based forced detection; citation_author=HWAM Jong, ETP Slijpen, FJ Beekman; citation_volume=48; citation_publication_date=2001; citation_pages=58-64; citation_doi=10.1109\u002F23.910833; citation_id=CR10\ncitation_journal_title=EJNMMI Phys; citation_title=Fast quantitative reconstruction with focusing collimators for liver SPECT; citation_author=MMA Dietze, S Velden, MGEH Lam, MA Viergever, HWAM Jong; citation_volume=5; citation_issue=1; citation_publication_date=2018; citation_pages=28; citation_doi=10.1186\u002Fs40658-018-0228-5; citation_id=CR11\ncitation_journal_title=J Nucl Med.; citation_title=Evaluation of 3D Monte Carlo-based scatter correction for 99mTc cardiac perfusion SPECT; citation_author=J Xiao, TC Wit, SG Staelens, FJ Beekman; citation_volume=47; citation_issue=10; citation_publication_date=2006; citation_pages=1662-1669; citation_id=CR12\ncitation_journal_title=J Nucl Med.; citation_title=Quantitative Monte Carlo-based 90Y SPECT reconstruction; citation_author=M Elschot, MGEH Lam, MAAJ Bosch, MA Viergever, HWAM Jong; citation_volume=54; citation_issue=9; citation_publication_date=2013; citation_pages=1557-1563; citation_doi=10.2967\u002Fjnumed.112.119131; citation_id=CR13\ncitation_journal_title=Med Phys.; citation_title=Quantitative Monte Carlo-based holmium-166 SPECT reconstruction; citation_author=M Elschot, MLJ Smits, JFW Nijsen; citation_volume=40; citation_issue=11; citation_publication_date=2013; citation_pages=112502; citation_doi=10.1118\u002F1.4823788; citation_id=CR14\ncitation_journal_title=IEEE Trans Nucl Sci.; citation_title=A method for attenuation correction in radionuclide computed tomography; citation_author=LT Chang; citation_volume=25; citation_issue=1; citation_publication_date=1978; citation_pages=638-643; citation_doi=10.1109\u002FTNS.1978.4329385; citation_id=CR15\ncitation_journal_title=J Nucl Med.; citation_title=Improved SPECT quantification using compensation for scattered photons; citation_author=RJ Jaszczak, KL Greer, CE Floyd, CC Harris, RE Coleman; citation_volume=25; citation_issue=8; citation_publication_date=1984; citation_pages=893-900; citation_id=CR16\ncitation_journal_title=IEEE Signal Processing Magazine; citation_title=Convolutional Neural Networks for Inverse Problems in Imaging: A Review; citation_author=Michael T. 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This essay considers some of the dynamics of these forces as they act on physics-related developments in PET and suggests that progress will be greatest if these differing motivations are kept in balance as the field evolves.",{"EN":1327},"The dynamics of physics in PET",{"VOID":1329},"Bailey DL: Thirty years from now: future physics contributions in nuclear medicine. EJNMMI Physics 2014,, 1: 4.\nEll PJ: The contribution of medical physics to nuclear medicine: a physician’s perspective. EJNMMI Physics 2014,, 1: 3.\nHutton BF: The contribution of medical physics to nuclear medicine: looking back-a physicist’s perspective. EJNMMI Physics 2014,, 1: 2.\nMankoff DA, Pryma DA: The contribution of physics to nuclear medicine: physicians’ perspective on future directions. EJNMMI Physics 2014,, 1: 5.\nDahlbom M, Hoffman EJ, Hoh CK, Schiepers C, Rosenqvist G, Hawkins RA, Phelps ME: Whole-body positron emission tomography: part I Methods and performance characteristics. J Nucl Med 1992,33(6):1191–1199.\nSiemens Healthcare: First comprehensive amyloid imaging solution. [http:\u002F\u002Fwww.healthcare.siemens.com\u002Fmolecular-imaging\u002Ffirst-comprehensive-amyloid-imaging-solution]\nJones T: Historical development of functional in vivo studies using positron-emitting tracers. In Positron Emission Tomography: Basic Sciences. Edited by: Valk PE, Bailey DL, Townsend DW, Maisey MN. New York: Springer; 2003:3–40.\nBadawi RD, Marsden PK, Cronin BF, Sutcliffe JL, Maisey MN: Optimization of noise-equivalent count rates in 3D PET. Phys Med Biol 1996,41(9):1755–1776.\nPhilips Healthcare: Vereos PET-CT—radiology. [http:\u002F\u002Fwww.healthcare.philips.com\u002Fus_en\u002Fclinicalspecialities\u002Fradiology\u002Fsolutions\u002Fvereos.html#module=USP1b]\nMiddle East Business News and Information: GE healthcare presents innovative technologies to advance cancer diagnosis in the Middle East at Arab Health 2014. [http:\u002F\u002Fmid-east.info\u002Fge-healthcare-presentsinnovative-technologies-to-advance-cancer-diagnosis-in-the-middle-east-at-arab-health-2014–16775]\nPichler BJ, Miller SM, Hamill JJ, Gremillion T, Weber WA, Bendriem B: Evaluation of the NaI-LSO-hybrid detector PET-SPECT system: dual isotope scans and first patient studies. Eur J Nucl Med Mol Imaging 2002,29(1 Sup):109.\nBeyer T, Townsend DW, Brun T, Kinahan PE, Charron M, Roddy R, Jerin J, Young J, Byars L, Nutt R: A combined PET\u002FCT scanner for clinical oncology. J Nucl Med 2000,41(8):1369–1379.\nMoses WW: Time of flight in PET revisited. IEEE Trans Nuc Sci 2003,50(5):1325–1330.\nRezaei A, Defrise M, Bal G, Michel C, Conti M, Watson C, Nuyts J: Simultaneous reconstruction of activity and attenuation in time-of-flight PET. IEEE Trans Med Img 2012,31(12):2224–2233.\nNuyts J, Bal G, Kehren F, Fenchel M, Michel C, Watson C: Completion of a truncated attenuation image from the attenuated PET emission data. IEEE Trans Med Img 2013,32(2):237–246.\nWatson CC: Supplemental transmission method for improved PET attenuation correction on an integrated MR\u002FPET. Nucl Instrum Methods Phys Res A 2014,734(B):191–195.\nMollet P, Keereman V, Clementel E, Vandenberghe S: Simultaneous MR-compatible emission and transmission imaging for PET using time-of-flight information. IEEE Trans Med Img 2012,31(9):1734–1742.",{"VOID":1331},"10.1186\u002F2197-7364-1-6","https:\u002F\u002Fejnmmiphys.springeropen.com\u002Farticles\u002F10.1186\u002F2197-7364-1-6",[1334],{"id":1335,"sortIndex":106,"researcher":23,"roles":1336,"affiliations":1337,"properties":1346,"displayName":1348,"givenName":23,"familyName":23},"c5d782e5-bddd-438a-b483-6f121624e190",[152],[1338],{"id":1339,"sortIndex":106,"affiliation":1340,"properties":23},"c482532f-badd-4c13-acb8-fece635933ae",{"id":1339,"createTime":23,"updateTime":23,"relativeEntities":1341,"slug":23,"properties":1342,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1345,"statistic":23},[],{"title":1343},{"VI":1344},"Siemens Healthcare, Knoxville, USA",[],{"title":1347},{"VI":1348},"Charles C Watson",{"url":1332,"publisher":1350,"properties":1405},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1351,"slug":10,"properties":1352,"entityType":21,"verifyStatus":22,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":24,"subjectFields":1357,"manageAffiliations":1374,"indexDatabases":1385,"url":104,"thumbnailPath":23,"statistic":1400,"gsStatistic":23,"type":23,"analyzePriority":23},[],{"country":1353,"eissn":1354,"issn":1355,"title":1356},{"VOID":13},{"VOID":15},{"VOID":15},{"EN":18},[1358,1362,1366,1370],{"id":27,"createTime":23,"updateTime":23,"relativeEntities":1359,"label":1360,"description":1361,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":30},{},{"id":33,"createTime":23,"updateTime":23,"relativeEntities":1363,"label":1364,"description":1365,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":36},{},{"id":39,"createTime":23,"updateTime":23,"relativeEntities":1367,"label":1368,"description":1369,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":42},{},{"id":45,"createTime":23,"updateTime":23,"relativeEntities":1371,"label":1372,"description":1373,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":48},{},[1375,1380],{"id":52,"createTime":23,"updateTime":23,"relativeEntities":1376,"slug":23,"properties":1377,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1379,"statistic":23},[],{"title":1378},{"EN":56},[],{"id":59,"createTime":23,"updateTime":23,"relativeEntities":1381,"slug":23,"properties":1382,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1384,"statistic":23},[],{"title":1383},{"EN":63},[65],[1386,1393],{"id":68,"indexDatabase":1387,"url":79,"indexYears":80,"academicFieldIds":1392,"indexDatabaseRanking":86},{"id":70,"createTime":23,"updateTime":23,"relativeEntities":1388,"label":1389,"description":1390,"key":76,"publicationTags":1391,"standard":23},[],{"EN":73,"VI":73},{"EN":73,"VI":75},[78],[82,83,84,85],{"id":88,"indexDatabase":1394,"url":101,"indexYears":23,"academicFieldIds":1399,"indexDatabaseRanking":23},{"id":90,"createTime":23,"updateTime":23,"relativeEntities":1395,"label":1396,"description":1397,"key":97,"publicationTags":1398,"standard":23},[],{"EN":93,"VI":93},{"EN":95,"VI":96},[99,100],[103],{"impactFactor":106,"impactFactorByYear":1401,"i10Index":106,"i10IndexLast5Year":106,"totalPublication":108,"totalPublicationByYear":1402,"totalCitation":106,"totalCitationByYear":1403,"totalCitationPerPublication":106,"totalCitationPerPublicationByYear":1404,"hindexLast5Year":106,"hindex":106},{},{"2014":110,"2015":111,"2016":112,"2017":112,"2018":113,"2019":114,"2020":115,"2021":116,"2022":117,"2023":118,"2024":119},{},{},{"pages":1406,"volume":1408},{"VOID":1407},"1-4",{"VOID":1309},"2014-06-03",[99,86],{"id":1412,"createTime":1413,"updateTime":1414,"relativeEntities":1415,"slug":1416,"properties":1417,"entityType":143,"verifyStatus":144,"verifyTime":1414,"verifyNote":146,"languages":23,"translateLanguages":23,"viewCount":106,"primaryUrl":1426,"fullTextUrl":23,"authors":1427,"publicationType":220,"publisherRelationship":1509,"citationCount":23,"citationInfo":23,"publishDate":1569,"publishYear":1315,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":1570,"openAccess":23,"references":23,"isForceReanalyzing":286},"2aca04cd-39a8-48af-b4e4-080b7b2d528c","2023-12-29T17:05:37.594+00:00","2025-02-26T09:56:48.962+00:00",[],"Algorithms-for-joint-activity-attenuation-estimation-from-positron-emission-tomography-scatter",{"abstract":1418,"title":1420,"references":1422,"doi":1424},{"EN":1419},"Attenuation correction in positron emission tomography remains challenging in the absence of measured transmission data. Scattered emission data may contribute missing information, but quantitative scatter-to-attenuation (S2A) reconstruction needs to input the reconstructed activity image. Here, we study S2A reconstruction as a building block for joint estimation of activity and attenuation. We study two S2A reconstruction algorithms, maximum-likelihood expectation maximization (MLEM) with one-step-late attenuation (MLEM-OSL) and a maximum-likelihood gradient ascent (MLGA). We study theoretical properties of these algorithms with a focus on convergence and convergence speed and compare convergence speeds and the impact of object size in simulations using different spatial scale factors. Then, we propose joint estimation of activity and attenuation from scattered and nonscattered (true) emission data, combining MLEM-OSL or MLGA with scatter-MLEM as well as trues-MLEM and the maximum-likelihood transmission (MLTR) algorithm. Shortcomings of MLEM-OSL inhibit convergence to the true solution with high attenuation; these shortcomings are related to the linearization of a nonlinear measurement equation and can be linked to a new numerical criterion allowing geometrical interpretations in terms of low and high attenuation. Comparisons using simulated data confirm that while MLGA converges largely independent of the attenuation scale, MLEM-OSL converges if low-attenuation data dominate, but not with high attenuation. Convergence of MLEM-OSL can be improved by isolating data satisfying the aforementioned low-attenuation criterion. In joint estimation of activity and attenuation, scattered data helps avoid local minima that nonscattered data alone cannot. Combining MLEM-OSL with trues-MLEM may be sufficient for low-attenuation objects, while MLGA, scatter-MLEM, and MLTR may additionally be needed with higher attenuation. The performance of S2A algorithms depends on spatial scales. MLGA provides lower computational complexity and convergence in more diverse setups than MLEM-OSL. Finally, scattered data may provide additional information to joint estimation of activity and attenuation through S2A reconstruction.",{"EN":1421},"Algorithms for joint activity–attenuation estimation from positron emission tomography scatter",{"VOID":1423},"Phelps ME. PET: the merging of biology and imaging into molecular imaging. J Nucl Med. 2000; 41(4):661–81.\nPhelps ME, Hoffman EJ, Mullani NA, Ter-Pogossian MM. Application of annihilation coincidence detection to transaxial reconstruction tomography. J Nucl Med. 1975; 16(3):210–24.\nWatson CC. New, faster, image-based scatter correction for 3D PET. IEEE Trans Nucl Sci. 2000; 47(4):1587–94. https:\u002F\u002Fdoi.org\u002F10.1109\u002F23.873020.\nCarson RE, Daube-Witherspoon ME, Green MV. A method for postinjection PET transmission measurements with a rotating source. 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IEEE Trans Nucl Sci. 2016; 63(5):2586–98. https:\u002F\u002Fdoi.org\u002F10.1109\u002FTNS.2016.2599152.\nDanad I, Fayad ZA, Willemink MJ, Min JK. New applications of cardiac computed tomography: Dual-energy, spectral, and molecular CT imaging. JACC: Cardiovasc Imaging. 2015; 8(6):710–23. https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jcmg.2015.03.005.\nBerker Y, Schulz V. Scattered PET data for attenuation-map reconstruction in PET\u002FMRI: Fundamentals. 2014 IEEE Nucl Sci Symp Med Imaging Conf. 2014. https:\u002F\u002Fdoi.org\u002F10.1109\u002FNSSMIC.2014.7430785.\nThe MathWorks: expm1. In: MATLAB® Function Reference. R2019a edn. Natick: The MathWorks: 2019. p. 3712–3.",{"VOID":1425},"10.1186\u002Fs40658-019-0254-y","https:\u002F\u002Fejnmmiphys.springeropen.com\u002Farticles\u002F10.1186\u002Fs40658-019-0254-y",[1428,1463,1494],{"id":1429,"sortIndex":106,"researcher":23,"roles":1430,"affiliations":1431,"properties":1460,"displayName":1462,"givenName":23,"familyName":23},"7e729572-e47a-496c-89d9-c4c597768bf3",[152],[1432,1440,1449],{"id":1433,"sortIndex":106,"affiliation":1434,"properties":23},"aaa34211-e801-4d52-b831-ee4d89e9c3df",{"id":1433,"createTime":23,"updateTime":23,"relativeEntities":1435,"slug":23,"properties":1436,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1439,"statistic":23},[],{"title":1437},{"VI":1438},"Division of X-ray Imaging and Computed Tomography, German Cancer Research Center (DKFZ), Heidelberg, Germany",[],{"id":1441,"sortIndex":169,"affiliation":1442,"properties":1448},"64891a75-9755-467b-8087-13c995ad7be3",{"id":1441,"createTime":23,"updateTime":23,"relativeEntities":1443,"slug":23,"properties":1444,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1447,"statistic":23},[],{"title":1445},{"VI":1446},"Department of Physics of Molecular Imaging Systems, Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany",[],{},{"id":1450,"sortIndex":193,"affiliation":1451,"properties":1457},"20dba8f9-7ee2-4abe-842b-69b842429e4b",{"id":1450,"createTime":23,"updateTime":23,"relativeEntities":1452,"slug":23,"properties":1453,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1456,"statistic":23},[],{"title":1454},{"EN":1455},"Department of Radiology, University of Pennsylvania, Philadelphia, United States",[],{"title":1458},{"VI":1459},"Department of Radiology, University of Pennsylvania, Philadelphia, USA",{"title":1461},{"VI":1462},"Yannick Berker",{"id":1464,"sortIndex":169,"researcher":23,"roles":1465,"affiliations":1466,"properties":1491,"displayName":1493,"givenName":23,"familyName":23},"c498c559-fc18-49da-8774-711508b15c3a",[152],[1467,1473,1482],{"id":1441,"sortIndex":106,"affiliation":1468,"properties":23},{"id":1441,"createTime":23,"updateTime":23,"relativeEntities":1469,"slug":23,"properties":1470,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1472,"statistic":23},[],{"title":1471},{"VI":1446},[],{"id":1474,"sortIndex":169,"affiliation":1475,"properties":1481},"a89616b9-4e5d-484c-84d2-76166e5fc67f",{"id":1474,"createTime":23,"updateTime":23,"relativeEntities":1476,"slug":23,"properties":1477,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1480,"statistic":23},[],{"title":1478},{"VI":1479},"III. Physikalisches Institut B, RWTH Aachen University, Otto-Blumenthal-Straße, Aachen, Germany",[],{},{"id":1483,"sortIndex":193,"affiliation":1484,"properties":1490},"b0e39422-fc68-46b6-80b7-7d71775344a1",{"id":1483,"createTime":23,"updateTime":23,"relativeEntities":1485,"slug":23,"properties":1486,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1489,"statistic":23},[],{"title":1487},{"VI":1488},"Fraunhofer Institute for Digital Medicine MEVIS, Aachen, Germany",[],{},{"title":1492},{"VI":1493},"Volkmar Schulz",{"id":1495,"sortIndex":193,"researcher":23,"roles":1496,"affiliations":1497,"properties":1506,"displayName":1508,"givenName":23,"familyName":23},"c5088326-f4a8-4e09-9cb1-6f1faaf407d4",[152],[1498],{"id":1450,"sortIndex":106,"affiliation":1499,"properties":1504},{"id":1450,"createTime":23,"updateTime":23,"relativeEntities":1500,"slug":23,"properties":1501,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1503,"statistic":23},[],{"title":1502},{"EN":1455},[],{"title":1505},{"VI":1459},{"title":1507},{"VI":1508},"Joel S. Karp",{"url":1426,"publisher":1510,"properties":1565},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1511,"slug":10,"properties":1512,"entityType":21,"verifyStatus":22,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":24,"subjectFields":1517,"manageAffiliations":1534,"indexDatabases":1545,"url":104,"thumbnailPath":23,"statistic":1560,"gsStatistic":23,"type":23,"analyzePriority":23},[],{"country":1513,"eissn":1514,"issn":1515,"title":1516},{"VOID":13},{"VOID":15},{"VOID":15},{"EN":18},[1518,1522,1526,1530],{"id":27,"createTime":23,"updateTime":23,"relativeEntities":1519,"label":1520,"description":1521,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":30},{},{"id":33,"createTime":23,"updateTime":23,"relativeEntities":1523,"label":1524,"description":1525,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":36},{},{"id":39,"createTime":23,"updateTime":23,"relativeEntities":1527,"label":1528,"description":1529,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":42},{},{"id":45,"createTime":23,"updateTime":23,"relativeEntities":1531,"label":1532,"description":1533,"parentId":23,"standard":23,"scholarHubFieldId":23},[],{"EN":48},{},[1535,1540],{"id":52,"createTime":23,"updateTime":23,"relativeEntities":1536,"slug":23,"properties":1537,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1539,"statistic":23},[],{"title":1538},{"EN":56},[],{"id":59,"createTime":23,"updateTime":23,"relativeEntities":1541,"slug":23,"properties":1542,"entityType":23,"verifyStatus":23,"verifyTime":23,"verifyNote":23,"languages":23,"translateLanguages":23,"viewCount":23,"url":23,"parentIds":1544,"statistic":23},[],{"title":1543},{"EN":63},[65],[1546,1553],{"id":68,"indexDatabase":1547,"url":79,"indexYears":80,"academicFieldIds":1552,"indexDatabaseRanking":86},{"id":70,"createTime":23,"updateTime":23,"relativeEntities":1548,"label":1549,"description":1550,"key":76,"publicationTags":1551,"standard":23},[],{"EN":73,"VI":73},{"EN":73,"VI":75},[78],[82,83,84,85],{"id":88,"indexDatabase":1554,"url":101,"indexYears":23,"academicFieldIds":1559,"indexDatabaseRanking":23},{"id":90,"createTime":23,"updateTime":23,"relativeEntities":1555,"label":1556,"description":1557,"key":97,"publicationTags":1558,"standard":23},[],{"EN":93,"VI":93},{"EN":95,"VI":96},[99,100],[103],{"impactFactor":106,"impactFactorByYear":1561,"i10Index":106,"i10IndexLast5Year":106,"totalPublication":108,"totalPublicationByYear":1562,"totalCitation":106,"totalCitationByYear":1563,"totalCitationPerPublication":106,"totalCitationPerPublicationByYear":1564,"hindexLast5Year":106,"hindex":106},{},{"2014":110,"2015":111,"2016":112,"2017":112,"2018":113,"2019":114,"2020":115,"2021":116,"2022":117,"2023":118,"2024":119},{},{},{"pages":1566,"volume":1568},{"VOID":1567},"1-30",{"VOID":1313},"2019-10-28",[99,86],{"id":1572,"createTime":1573,"updateTime":1574,"relativeEntities":1575,"slug":1576,"properties":1577,"entityType":143,"verifyStatus":144,"verifyTime":1574,"verifyNote":146,"languages":23,"translateLanguages":23,"viewCount":106,"primaryUrl":1586,"fullTextUrl":23,"authors":1587,"publicationType":220,"publisherRelationship":1721,"citationCount":23,"citationInfo":23,"publishDate":1782,"publishYear":1783,"citationAnalyzeStatus":22,"lastCitationAnalyze":23,"indexDatabases":1784,"openAccess":23,"references":23,"isForceReanalyzing":286},"88523a99-8c01-454d-b4ca-e6a7f9ab5d31","2024-01-11T22:29:51.149+00:00","2025-02-26T06:56:19.689+00:00",[],"Accuracy-of-177Lu-activity-quantification-in-SPECT-imaging-a-phantom-study",{"abstract":1578,"title":1580,"references":1582,"doi":1584},{"EN":1579},"The aim of the study is to assess accuracy of activity quantification of 177Lu studies performed according to recommendations provided by the committee on Medical Internal Radiation Dose (MIRD) pamphlets 23 and 26. The performances of two scatter correction and three segmentation methods were compared. Additionally, the accuracy of tomographic and planar methods for determination of the camera normalization factor (CNF) was evaluated. Eight phantoms containing inserts of different sizes and shapes placed in air, water, and radioactive background were scanned using a Siemens SymbiaT SPECT\u002FCT camera. Planar and tomographic scans with 177Lu sources were used to measure CNF. Images were reconstructed with our SPEQToR software using resolution recovery, attenuation, and two scatter correction methods (analytical photon distribution interpolated (APDI) and triple energy window (TEW)). Segmentation was performed using a fixed threshold method for both air and cold water scans. For hot water experiments three segmentation methods were compared as folows: a 40% fixed threshold, segmentation based on CT images, and our iterative adaptive dual thresholding (IADT). Quantification error, defined as the percent difference between experimental and true activities, was evaluated. Quantification error for scans in air was better for TEW scatter correction (\u003C6%) than for APDI (\u003C11%). This trend was reversed for scans in water (\u003C10% for APDI and \u003C14% for TEW). For hot water, the best results (\u003C18% for small objects and \u003C5% for objects >100 ml) were obtained when APDI and IADT were used for scatter correction and segmentation, respectively. Additionally, we showed that planar acquisitions with scatter correction and tomographic scans provide similar CNF values. This is an important finding because planar acquisitions are easier to perform than tomographic scans. TEW and APDI resulted in similar quantification errors with APDI showing a small advantage for objects placed in medium with non-uniform density. Following the MIRD recommendations for data acquisition and reconstruction resulted in accurate activity quantification (errors \u003C5% for large objects). However, techniques for better organ\u002Ftumor segmentation must still be developed.",{"EN":1581},"Accuracy of 177Lu activity quantification in SPECT imaging: a phantom study",{"VOID":1583},"Dash A, Knapp FF (Russ), Pillai MRA. Targeted radionuclide therapy—an overview. Curr. Radiopharm. [Internet]. 2013;6:152–80. Available from: https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F24059327.\nErsahin D, Doddamane I, Cheng D. Targeted radionuclide therapy. Cancers (Basel). 2011;3:3838–55. Available from: http:\u002F\u002Fwww.mdpi.com\u002F2072-6694\u002F3\u002F4\u002F3838.\nKashyap R, Hofman MS, Michael M, Kong G, Akhurst T, Eu P, et al. Favourable outcomes of 177Lu-octreotate peptide receptor chemoradionuclide therapy in patients with FDG-avid neuroendocrine tumours. 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Available from: http:\u002F\u002Fieeexplore.ieee.org\u002Flpdocs\u002Fepic03\u002Fwrapper.htm?arnumber=736199.\nVandervoort E, Celler A, Wells G, Blinder S, Dixon K, Member S, et al. Implementation of an analytically based scatter correction in SPECT reconstructions. IEEE Trans Nucl Sci. 2005;52:645–53.\nde Nijs R, Lagerburg V, Klausen TL, Holm S. Improving quantitative dosimetry in 177Lu-DOTATATE SPECT by energy window-based scatter corrections. Nucl Med Commun. 2014;35:522–33. Available from: http:\u002F\u002Fwww.pubmedcentral.nih.gov\u002Farticlerender.fcgi?artid=3969156&tool=pmcentrez&rendertype=abstract.\nOgawa K, Harata Y, Ichihara T, Kubo A, Hashimoto S. A practical method for position-dependent Compton-scatter correction in single photon emission CT. IEEE Trans Med Imaging. 1991;10:408–12. Available from: http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F18222843.\nSanders JC, Kuwert T, Hornegger J, Ritt P. Quantitative SPECT\u002FCT imaging of 177Lu with in vivo validation in patients undergoing peptide receptor radionuclide therapy. Mol. Imaging Biol. [Internet]. 2014; Available from: https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F25475521.\nHippeläinen E, Tenhunen M, Mäenpää H, Sohlberg A. Quantitative accuracy of 177Lu SPECT reconstruction using different compensation methods: phantom and patient studies. EJNMMI Res. 2016;6:16. Available from: http:\u002F\u002Fwww.pubmedcentral.nih.gov\u002Farticlerender.fcgi?artid=4759452&tool=pmcentrez&rendertype=abstract.\nStabin MG, Sparks RB, Crowe E. OLINDA\u002FEXM: the second-generation personal computer software for internal dose assessment in nuclear medicine. J Nucl Med. 2005;46:1023–7. Available from: http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F15937315.\nErdi YE, Wessels BW, Loew MH, Erdi AK. Threshold estimation in single photon emission computed tomography and planar imaging for clinical radioimmunotherapy. Cancer Res. 1995;55:5823s–6s.\nGrimes J, Celler A, Shcherbinin S, Piwowarska-Bilska H, Birkenfeld B. The accuracy and reproducibility of SPECT target volumes and activities estimated using an iterative adaptive thresholding technique. Nucl Med Commun. 2012;33:1254–66. Available from: http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F23010981.\nBlinder S, Celler A, Wells RG, Thomson D, Harrop R. Experimental verification of 3D detector response compensation using the OSEM reconstruction method. IEEE Nucl Sci Symp Conf Rec. 2001;4:2174–8. Available from: http:\u002F\u002Fieeexplore.ieee.org\u002Fxpls\u002Fabs_all.jsp?arnumber=1009254.\nUribe CF, Esquinas PL, Gonzalez M, Celler A. Characteristics of Bremsstrahlung emissions of 177Lu, 188Re, and 90Y for SPECT\u002FCT quantification in radionuclide therapy. Phys Medica. 2016;32:691–700. Available from: https:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F27157626.\nVandervoort E, Celler A, Harrop R. 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Available from: http:\u002F\u002Fjnm.snmjournals.org\u002Fcontent\u002Fearly\u002F2015\u002F01\u002F15\u002Fjnumed.114.148437.abstract.\nDewaraja YK, Wilderman SJ, Ljungberg M, Koral KF, Zasadny K, Kaminiski MS. Accurate dosimetry in 131I radionuclide therapy using patient-specific, 3-dimensional methods for SPECT reconstruction and absorbed dose calculation. J Nucl Med. 2005;46:840–9.\nLjungberg M, Sjögreen K, Liu X, Frey E, Dewaraja Y, Strand S-E. A 3-dimensional absorbed dose calculation method based on quantitative SPECT for radionuclide therapy: evaluation for (131)I using Monte Carlo simulation. J Nucl Med. 2002;43:1101–9.\nZeintl J, Vija AH, Yahil A, Hornegger J, Kuwert T. Quantitative accuracy of clinical 99mTc SPECT\u002FCT using ordered-subset expectation maximization with 3-dimensional resolution recovery, attenuation, and scatter correction. J Nucl Med. 2010;51:921–8. Available from: http:\u002F\u002Fwww.ncbi.nlm.nih.gov\u002Fpubmed\u002F20484423.\nFrey EC, Humm JL, Ljungberg M. Accuracy and precision of radioactivity quantification in nuclear medicine images. Semin Nucl Med. 2013;42:208–18.\nD’Arienzo M, Cazzato M, Cozzella ML, Cox M, D’Andrea M, Fazio A, et al. Gamma camera calibration and validation for quantitative SPECT imaging with 177Lu. Appl Radiat Isot. 2016;112:156–64. 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