{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T22:24:21Z","timestamp":1789424661267,"version":"build-2803163510"},"reference-count":47,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T00:00:00Z","timestamp":1741305600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T00:00:00Z","timestamp":1741305600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"JSPS KAKENHI","award":["23K07146"],"award-info":[{"award-number":["23K07146"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["EJNMMI Res"],"DOI":"10.1186\/s13550-025-01209-7","type":"journal-article","created":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T16:33:45Z","timestamp":1741365225000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Arrival time mapping with 15O-gas PET for cerebrovascular steno-occlusive diseases: a comparative study with CT perfusion"],"prefix":"10.1186","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4280-6470","authenticated-orcid":false,"given":"Masanobu","family":"Ibaraki","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuki","family":"Shinohara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aya","family":"Watanabe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaoru","family":"Sato","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomomi","family":"Ohmura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroyuki","family":"Yamamoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toshibumi","family":"Kinoshita","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,3,7]]},"reference":[{"issue":"1","key":"1209_CR1","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.cpet.2009.12.007","volume":"5","author":"WJ Powers","year":"2010","unstructured":"Powers WJ, Zazulia AR. PET in cerebrovascular disease. PET Clin. 2010;5(1):83\u2013106. https:\/\/doi.org\/10.1016\/j.cpet.2009.12.007.","journal-title":"PET Clin"},{"issue":"2","key":"1209_CR2","first-page":"177","volume":"25","author":"MA Mintun","year":"1984","unstructured":"Mintun MA, Raichle ME, Martin WR, Herscovitch P. Brain oxygen utilization measured with O-15 radiotracers and positron emission tomography. J Nucl Med. 1984;25(2):177\u201387.","journal-title":"J Nucl Med"},{"issue":"3","key":"1209_CR3","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s12149-009-0235-7","volume":"23","author":"H Okazawa","year":"2009","unstructured":"Okazawa H, Kudo T. Clinical impact of hemodynamic parameter measurement for cerebrovascular disease using positron emission tomography and (15)O-labeled tracers. Ann Nucl Med. 2009;23(3):217\u201327. https:\/\/doi.org\/10.1007\/s12149-009-0235-7.","journal-title":"Ann Nucl Med"},{"issue":"5","key":"1209_CR4","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1002\/mrm.1910360510","volume":"36","author":"L Ostergaard","year":"1996","unstructured":"Ostergaard L, Weisskoff RM, Chesler DA, Gyldensted C, Rosen BR. High resolution measurement of cerebral blood flow using intravascular tracer bolus passages. Part I: mathematical approach and statistical analysis. Magn Reson Med. 1996;36(5):715\u201325. https:\/\/doi.org\/10.1002\/mrm.1910360510.","journal-title":"Magn Reson Med"},{"issue":"4","key":"1209_CR5","doi-asserted-by":"publisher","first-page":"662","DOI":"10.3174\/ajnr.A1487","volume":"30","author":"AA Konstas","year":"2009","unstructured":"Konstas AA, Goldmakher GV, Lee TY, Lev MH. Theoretic basis and technical implementations of CT perfusion in acute ischemic stroke, part 1: theoretic basis. AJNR Am J Neuroradiol. 2009;30(4):662\u20138. https:\/\/doi.org\/10.3174\/ajnr.A1487.","journal-title":"AJNR Am J Neuroradiol"},{"issue":"1","key":"1209_CR6","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1002\/mrm.10522","volume":"50","author":"O Wu","year":"2003","unstructured":"Wu O, Ostergaard L, Weisskoff RM, Benner T, Rosen BR, Sorensen AG. Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant Deconvolution matrix. Magn Reson Med. 2003;50(1):164\u201374. https:\/\/doi.org\/10.1002\/mrm.10522.","journal-title":"Magn Reson Med"},{"issue":"6","key":"1209_CR7","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1161\/STROKEAHA.110.580670","volume":"41","author":"F Calamante","year":"2010","unstructured":"Calamante F, Christensen S, Desmond PM, Ostergaard L, Davis SM, Connelly A. The physiological significance of the time-to-maximum (Tmax) parameter in perfusion MRI. Stroke. 2010;41(6):1169\u201374. https:\/\/doi.org\/10.1161\/STROKEAHA.110.580670.","journal-title":"Stroke"},{"issue":"1","key":"1209_CR8","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1148\/radiol.12112618","volume":"267","author":"K Kudo","year":"2013","unstructured":"Kudo K, Christensen S, Sasaki M, Ostergaard L, Shirato H, Ogasawara K, et al. Accuracy and reliability assessment of CT and MR perfusion analysis software using a digital Phantom. Radiology. 2013;267(1):201\u201311. https:\/\/doi.org\/10.1148\/radiol.12112618.","journal-title":"Radiology"},{"issue":"1","key":"1209_CR9","doi-asserted-by":"publisher","first-page":"32","DOI":"10.2463\/mrms.mp.2015-0167","volume":"16","author":"I Uwano","year":"2017","unstructured":"Uwano I, Sasaki M, Kudo K, Boutelier T, Kameda H, Mori F, et al. Tmax determined using a bayesian Estimation Deconvolution algorithm applied to bolus tracking perfusion imaging: A digital Phantom validation study. Magn Reson Med Sci. 2017;16(1):32\u20137. https:\/\/doi.org\/10.2463\/mrms.mp.2015-0167.","journal-title":"Magn Reson Med Sci"},{"issue":"6","key":"1209_CR10","doi-asserted-by":"publisher","first-page":"1608","DOI":"10.1161\/STROKEAHA.110.609008","volume":"42","author":"MG Lansberg","year":"2011","unstructured":"Lansberg MG, Lee J, Christensen S, Straka M, De Silva DA, Mlynash M, et al. RAPID automated patient selection for reperfusion therapy: a pooled analysis of the echoplanar imaging thrombolytic evaluation trial (EPITHET) and the diffusion and perfusion imaging evaluation for Understanding stroke evolution (DEFUSE) study. Stroke. 2011;42(6):1608\u201314. https:\/\/doi.org\/10.1161\/STROKEAHA.110.609008.","journal-title":"Stroke"},{"issue":"24","key":"1209_CR11","doi-asserted-by":"publisher","first-page":"2285","DOI":"10.1056\/NEJMoa1415061","volume":"372","author":"JL Saver","year":"2015","unstructured":"Saver JL, Goyal M, Bonafe A, Diener HC, Levy EI, Pereira VM, et al. Stent-retriever thrombectomy after intravenous t-PA vs. t-PA alone in stroke. N Engl J Med. 2015;372(24):2285\u201395. https:\/\/doi.org\/10.1056\/NEJMoa1415061.","journal-title":"N Engl J Med"},{"issue":"1","key":"1209_CR12","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1186\/2191-219X-3-41","volume":"3","author":"N Kudomi","year":"2013","unstructured":"Kudomi N, Maeda Y, Sasakawa Y, Monden T, Yamamoto Y, Kawai N, et al. Imaging of the appearance time of cerebral blood using [15O]H2O PET for the computation of correct CBF. EJNMMI Res. 2013;3(1):41. https:\/\/doi.org\/10.1186\/2191-219X-3-41.","journal-title":"EJNMMI Res"},{"issue":"7","key":"1209_CR13","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.2967\/jnumed.118.215418","volume":"60","author":"J van Sluis","year":"2019","unstructured":"van Sluis J, 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\u20136. https:\/\/doi.org\/10.2967\/jnumed.118.215418.","journal-title":"J Nucl Med"},{"key":"1209_CR14","doi-asserted-by":"crossref","unstructured":"Casey ME, Osborne DR. Siemens biograph vision 600. In: Zhang J, Knopp MV, editors. Advances in PET. Springer; 2020. pp. 71\u201391.","DOI":"10.1007\/978-3-030-43040-5_6"},{"issue":"8","key":"1209_CR15","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1007\/s12149-022-01753-5","volume":"36","author":"M Ibaraki","year":"2022","unstructured":"Ibaraki M, Matsubara K, Shinohara Y, Shidahara M, Sato K, Yamamoto H, et al. Brain partial volume correction with point spreading function reconstruction in high-resolution digital PET: comparison with an MR-based method in FDG imaging. Ann Nucl Med. 2022;36(8):717\u201327. https:\/\/doi.org\/10.1007\/s12149-022-01753-5.","journal-title":"Ann Nucl Med"},{"issue":"1","key":"1209_CR16","doi-asserted-by":"publisher","first-page":"50","DOI":"10.2967\/jnumed.107.044008","volume":"49","author":"M Ibaraki","year":"2008","unstructured":"Ibaraki M, Miura S, Shimosegawa E, Sugawara S, Mizuta T, Ishikawa A, et al. Quantification of cerebral blood flow and oxygen metabolism with 3-dimensional PET and 15O: validation by comparison with 2-dimensional PET. J Nucl Med. 2008;49(1):50\u20139. https:\/\/doi.org\/10.2967\/jnumed.107.044008.","journal-title":"J Nucl Med"},{"issue":"7","key":"1209_CR17","doi-asserted-by":"publisher","first-page":"1296","DOI":"10.1038\/jcbfm.2010.13","volume":"30","author":"M Ibaraki","year":"2010","unstructured":"Ibaraki M, Shinohara Y, Nakamura K, Miura S, Kinoshita F, Kinoshita T. Interindividual variations of cerebral blood flow, oxygen delivery, and metabolism in relation to hemoglobin concentration measured by positron emission tomography in humans. J Cereb Blood Flow Metab. 2010;30(7):1296\u2013305. https:\/\/doi.org\/10.1038\/jcbfm.2010.13.","journal-title":"J Cereb Blood Flow Metab"},{"issue":"2","key":"1209_CR18","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1038\/jcbfm.1984.31","volume":"4","author":"I Kanno","year":"1984","unstructured":"Kanno I, Lammertsma AA, Heather JD, Gibbs JM, Rhodes CG, Clark JC, et al. Measurement of cerebral blood flow using bolus inhalation of C15O2 and positron emission tomography: description of the method and its comparison with the C15O2 continuous inhalation method. J Cereb Blood Flow Metab. 1984;4(2):224\u201334. https:\/\/doi.org\/10.1038\/jcbfm.1984.31.","journal-title":"J Cereb Blood Flow Metab"},{"issue":"5","key":"1209_CR19","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1038\/jcbfm.1986.99","volume":"6","author":"H Iida","year":"1986","unstructured":"Iida H, Kanno I, Miura S, Murakami M, Takahashi K, Uemura K. Error analysis of a quantitative cerebral blood flow measurement using H2(15)O autoradiography and positron emission tomography, with respect to the dispersion of the input function. J Cereb Blood Flow Metab. 1986;6(5):536\u201345. https:\/\/doi.org\/10.1038\/jcbfm.1986.99.","journal-title":"J Cereb Blood Flow Metab"},{"issue":"2","key":"1209_CR20","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1038\/jcbfm.1988.60","volume":"8","author":"H Iida","year":"1988","unstructured":"Iida H, Higano S, Tomura N, Shishido F, Kanno I, Miura S, et al. Evaluation of regional differences of tracer appearance time in cerebral tissues using [15O] water and dynamic positron emission tomography. J Cereb Blood Flow Metab. 1988;8(2):285\u20138. https:\/\/doi.org\/10.1038\/jcbfm.1988.60.","journal-title":"J Cereb Blood Flow Metab"},{"issue":"4","key":"1209_CR21","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1038\/jcbfm.1987.85","volume":"7","author":"WR Martin","year":"1987","unstructured":"Martin WR, Powers WJ, Raichle ME. Cerebral blood volume measured with inhaled C15O and positron emission tomography. J Cereb Blood Flow Metab. 1987;7(4):421\u20136. https:\/\/doi.org\/10.1038\/jcbfm.1987.85.","journal-title":"J Cereb Blood Flow Metab"},{"issue":"9","key":"1209_CR22","first-page":"790","volume":"24","author":"ME Raichle","year":"1983","unstructured":"Raichle ME, Martin WR, Herscovitch P, Mintun MA, Markham J. Brain blood flow measured with intravenous H2(15)O. II. Implementation and validation. J Nucl Med. 1983;24(9):790\u20138.","journal-title":"J Nucl Med"},{"key":"1209_CR23","first-page":"23","volume":"163","author":"H Iida","year":"1991","unstructured":"Iida H, Kanno I, Miura S. Rapid measurement of cerebral blood flow with positron emission tomography. Ciba Found Symp. 1991;163:23\u201337. discussion\u2013\u200942.","journal-title":"Ciba Found Symp"},{"issue":"1","key":"1209_CR24","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1152\/jappl.1962.17.1.9","volume":"17","author":"JB West","year":"1962","unstructured":"West JB, Dollery CT. Uptake of oxygen-15-labeled CO2 compared with carbon-11-labeled CO2 in the lung. J Appl Physiol. 1962;17(1):9\u201313. https:\/\/doi.org\/10.1152\/jappl.1962.17.1.9.","journal-title":"J Appl Physiol"},{"issue":"8","key":"1209_CR25","doi-asserted-by":"publisher","first-page":"1237","DOI":"10.1097\/00004647-200008000-00009","volume":"20","author":"H Iida","year":"2000","unstructured":"Iida H, Law I, Pakkenberg B, Krarup-Hansen A, Eberl S, Holm S, et al. Quantitation of regional cerebral blood flow corrected for partial volume effect using O-15 water and PET: I. Theory, error analysis, and stereologic comparison. J Cereb Blood Flow Metab. 2000;20(8):1237\u201351. https:\/\/doi.org\/10.1097\/00004647-200008000-00009.","journal-title":"J Cereb Blood Flow Metab"},{"issue":"6","key":"1209_CR26","first-page":"1069","volume":"30","author":"E Meyer","year":"1989","unstructured":"Meyer E. Simultaneous correction for tracer arrival delay and dispersion in CBF measurements by the H215O autoradiographic method and dynamic PET. J Nucl Med. 1989;30(6):1069\u201378.","journal-title":"J Nucl Med"},{"issue":"17","key":"1209_CR27","doi-asserted-by":"publisher","first-page":"4217","DOI":"10.1088\/0031-9155\/51\/17\/007","volume":"51","author":"M Yaqub","year":"2006","unstructured":"Yaqub M, Boellaard R, Kropholler MA, Lammertsma AA. Optimization algorithms and weighting factors for analysis of dynamic PET studies. Phys Med Biol. 2006;51(17):4217\u201332. https:\/\/doi.org\/10.1088\/0031-9155\/51\/17\/007.","journal-title":"Phys Med Biol"},{"issue":"3","key":"1209_CR28","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1097\/00004647-200103000-00014","volume":"21","author":"J Logan","year":"2001","unstructured":"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\u201320. https:\/\/doi.org\/10.1097\/00004647-200103000-00014.","journal-title":"J Cereb Blood Flow Metab"},{"issue":"4","key":"1209_CR29","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1109\/42.41486","volume":"8","author":"DR Haynor","year":"1989","unstructured":"Haynor DR, Woods SD. Resampling estimates of precision in emission tomography. IEEE Trans Med Imaging. 1989;8(4):337\u201343. https:\/\/doi.org\/10.1109\/42.41486.","journal-title":"IEEE Trans Med Imaging"},{"key":"1209_CR30","doi-asserted-by":"publisher","first-page":"2062","DOI":"10.1109\/TNS.2002.803688","volume":"49","author":"M Dahlbom","year":"2002","unstructured":"Dahlbom M. Estimation of image noise in PET using the bootstrap method. IEEE Trans Nucl Sci. 2002;49:2062\u20136.","journal-title":"IEEE Trans Nucl Sci"},{"issue":"2","key":"1209_CR31","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1007\/s12149-013-0782-9","volume":"28","author":"M Ibaraki","year":"2014","unstructured":"Ibaraki M, Matsubara K, Nakamura K, Yamaguchi H, Kinoshita T. Bootstrap methods for estimating PET image noise: experimental validation and an application to evaluation of image reconstruction algorithms. Ann Nucl Med. 2014;28(2):172\u201382. https:\/\/doi.org\/10.1007\/s12149-013-0782-9.","journal-title":"Ann Nucl Med"},{"key":"1209_CR32","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.nicl.2018.07.013","volume":"20","author":"L Presotto","year":"2018","unstructured":"Presotto L, Iaccarino L, Sala A, Vanoli EG, Muscio C, Nigri A, et al. Low-dose CT for the Spatial normalization of PET images: A validation procedure for amyloid-PET semi-quantification. NeuroImage Clin. 2018;20:153\u201360. https:\/\/doi.org\/10.1016\/j.nicl.2018.07.013.","journal-title":"NeuroImage Clin"},{"issue":"2","key":"1209_CR33","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/s11604-023-01490-3","volume":"42","author":"Y Shinohara","year":"2024","unstructured":"Shinohara Y, Ohmura T, Ibaraki M, Itoh T, Sasaki F, Sato Y, et al. Non-contrast dual-energy CT using X-map for acute ischemic stroke: region-specific comparison with simulated 120-kVp CT and diffusion-weighted MR images. Jpn J Radiol. 2024;42(2):165\u201373. https:\/\/doi.org\/10.1007\/s11604-023-01490-3.","journal-title":"Jpn J Radiol"},{"issue":"5","key":"1209_CR34","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1007\/BF00812363","volume":"17","author":"A Bol","year":"1990","unstructured":"Bol A, Vanmelckenbeke P, Michel C, Cogneau M, Goffinet AM. Measurement of cerebral blood flow with a bolus of oxygen-15-labelled water: comparison of dynamic and integral methods. Eur J Nucl Med. 1990;17(5):234\u201341. https:\/\/doi.org\/10.1007\/BF00812363.","journal-title":"Eur J Nucl Med"},{"issue":"9","key":"1209_CR35","doi-asserted-by":"publisher","first-page":"2279","DOI":"10.1161\/01.STR.0000086465.41263.06","volume":"34","author":"DS Liebeskind","year":"2003","unstructured":"Liebeskind DS. Collateral circulation. Stroke. 2003;34(9):2279\u201384. https:\/\/doi.org\/10.1161\/01.STR.0000086465.41263.06.","journal-title":"Stroke"},{"issue":"4","key":"1209_CR36","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1007\/s12149-017-1156-5","volume":"31","author":"MM Islam","year":"2017","unstructured":"Islam MM, Tsujikawa T, Mori T, Kiyono Y, Okazawa H. Pixel-by-pixel precise delay correction for measurement of cerebral hemodynamic parameters in H(2)(15)O PET study. Ann Nucl Med. 2017;31(4):283\u201394. https:\/\/doi.org\/10.1007\/s12149-017-1156-5.","journal-title":"Ann Nucl Med"},{"key":"1209_CR37","doi-asserted-by":"publisher","unstructured":"Igarashi C, Okazawa H, Islam MM, Tsujikawa T, Higashino T, Isozaki M, et al. Differences in hemodynamic alteration between atherosclerotic occlusive lesions and Moyamoya disease: A quantitative (15)O-PET study. Diagnostics (Basel). 2021;11(10). https:\/\/doi.org\/10.3390\/diagnostics11101820.","DOI":"10.3390\/diagnostics11101820"},{"issue":"3","key":"1209_CR38","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s00259-023-06469-w","volume":"51","author":"HBW Larsson","year":"2024","unstructured":"Larsson HBW, Law I, Andersen TL, Andersen FL, Fischer BM, Vestergaard MB, et al. Brain perfusion Estimation by Tikhonov model-free Deconvolution in a long axial field of view PET\/CT scanner exploring five different PET tracers. Eur J Nucl Med Mol Imaging. 2024;51(3):707\u201320. https:\/\/doi.org\/10.1007\/s00259-023-06469-w.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"8","key":"1209_CR39","doi-asserted-by":"publisher","first-page":"1044","DOI":"10.2967\/jnumed.118.217901","volume":"60","author":"C Catana","year":"2019","unstructured":"Catana C. Development of dedicated brain PET imaging devices: recent advances and future perspectives. J Nucl Med. 2019;60(8):1044\u201352. https:\/\/doi.org\/10.2967\/jnumed.118.217901.","journal-title":"J Nucl Med"},{"issue":"Suppl 2","key":"1209_CR40","doi-asserted-by":"publisher","first-page":"S11","DOI":"10.2967\/jnumed.122.264870","volume":"64","author":"J Knuuti","year":"2023","unstructured":"Knuuti J, Tuisku J, Karpijoki H, Iida H, Maaniitty T, Latva-Rasku A, et al. Quantitative perfusion imaging with Total-Body PET. J Nucl Med. 2023;64(Suppl 2):S11\u20139. https:\/\/doi.org\/10.2967\/jnumed.122.264870.","journal-title":"J Nucl Med"},{"issue":"2","key":"1209_CR41","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s12149-021-01710-8","volume":"36","author":"K Matsubara","year":"2022","unstructured":"Matsubara K, Ibaraki M, Nemoto M, Watabe H, Kimura Y. A review on AI in PET imaging. Ann Nucl Med. 2022;36(2):133\u201343. https:\/\/doi.org\/10.1007\/s12149-021-01710-8.","journal-title":"Ann Nucl Med"},{"issue":"1","key":"1209_CR42","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1007\/s12194-024-00780-3","volume":"17","author":"F Hashimoto","year":"2024","unstructured":"Hashimoto F, Onishi Y, Ote K, Tashima H, Reader AJ, Yamaya T. Deep learning-based PET image denoising and reconstruction: a review. Radiol Phys Technol. 2024;17(1):24\u201346. https:\/\/doi.org\/10.1007\/s12194-024-00780-3.","journal-title":"Radiol Phys Technol"},{"issue":"3","key":"1209_CR43","doi-asserted-by":"publisher","first-page":"1163","DOI":"10.1016\/s1053-8119(03)00156-3","volume":"19","author":"H Ito","year":"2003","unstructured":"Ito H, Kanno I, Takahashi K, Ibaraki M, Miura S. Regional distribution of human cerebral vascular mean transit time measured by positron emission tomography. NeuroImage. 2003;19(3):1163\u20139. https:\/\/doi.org\/10.1016\/s1053-8119(03)00156-3.","journal-title":"NeuroImage"},{"issue":"2 Pt 1","key":"1209_CR44","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/s1053-8119(03)00090-9","volume":"19","author":"F Calamante","year":"2003","unstructured":"Calamante F, Yim PJ, Cebral JR. Estimation of bolus dispersion effects in perfusion MRI using image-based computational fluid dynamics. NeuroImage. 2003;19(2 Pt 1):341\u201353. https:\/\/doi.org\/10.1016\/s1053-8119(03)00090-9.","journal-title":"NeuroImage"},{"issue":"6","key":"1209_CR45","doi-asserted-by":"publisher","first-page":"1762","DOI":"10.1002\/mrm.25077","volume":"72","author":"A Mehndiratta","year":"2014","unstructured":"Mehndiratta A, Calamante F, MacIntosh BJ, Crane DE, Payne SJ, Chappell MA. Modeling and correction of bolus dispersion effects in dynamic susceptibility contrast MRI. Magn Reson Med. 2014;72(6):1762\u201374. https:\/\/doi.org\/10.1002\/mrm.25077.","journal-title":"Magn Reson Med"},{"issue":"2","key":"1209_CR46","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1002\/mrm.24260","volume":"69","author":"MA Chappell","year":"2013","unstructured":"Chappell MA, Woolrich MW, Kazan S, Jezzard P, Payne SJ, MacIntosh BJ. Modeling dispersion in arterial spin labeling: validation using dynamic angiographic measurements. Magn Reson Med. 2013;69(2):563\u201370. https:\/\/doi.org\/10.1002\/mrm.24260.","journal-title":"Magn Reson Med"},{"issue":"5","key":"1209_CR47","doi-asserted-by":"publisher","first-page":"1889","DOI":"10.1002\/mrm.29783","volume":"90","author":"S Pires Monteiro","year":"2023","unstructured":"Pires Monteiro S, Pinto J, Chappell MA, Fouto A, Baptista MV, Vilela P, et al. Brain perfusion imaging by multi-delay arterial spin labeling: impact of modeling dispersion and interaction with denoising strategies and pathology. Magn Reson Med. 2023;90(5):1889\u2013904. https:\/\/doi.org\/10.1002\/mrm.29783.","journal-title":"Magn Reson Med"}],"container-title":["EJNMMI Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13550-025-01209-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13550-025-01209-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13550-025-01209-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T16:33:52Z","timestamp":1741365232000},"score":1,"resource":{"primary":{"URL":"https:\/\/ejnmmires.springeropen.com\/articles\/10.1186\/s13550-025-01209-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,7]]},"references-count":47,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["1209"],"URL":"https:\/\/doi.org\/10.1186\/s13550-025-01209-7","relation":{},"ISSN":["2191-219X"],"issn-type":[{"value":"2191-219X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,3,7]]},"assertion":[{"value":"11 September 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 February 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 March 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The study was approved by the Ethics Committee of the Research Institute for Brain and Blood Vessels-Akita (No. 23\u2009\u2212\u200920) and was performed in accordance with the Declaration of Helsinki. The requirement for informed consent was waived because of its retrospective design.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"20"}}