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For: Kero T, Nordström J, Harms HJ, Sörensen J, Ahlström H, Lubberink M. Quantitative myocardial blood flow imaging with integrated time-of-flight PET-MR. EJNMMI Phys 2017;4:1. [PMID: 28058674 DOI: 10.1186/s40658-016-0171-2] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 1.8] [Reference Citation Analysis]
Number Citing Articles
1 Itagaki K, Mitsumoto K, Kajisako M, Shioji M, Kawase S. Effect of Tumor-Pixel Positioning on the Variability of SUV Measurements in PET Images. Asia Ocean J Nucl Med Biol 2023;11:71-81. [PMID: 36619185 DOI: 10.22038/AOJNMB.2022.61623.1434] [Reference Citation Analysis]
2 Nordström J, Lindström E, Kero T, Sörensen J, Lubberink M. Influence of image reconstruction on quantitative cardiac 15O-water positron emission tomography. J Nucl Cardiol 2022. [PMID: 35927378 DOI: 10.1007/s12350-022-03075-5] [Reference Citation Analysis]
3 Vergnaud L, Giraudet AL, Moreau A, Salvadori J, Imperiale A, Baudier T, Badel JN, Sarrut D. Patient-specific dosimetry adapted to variable number of SPECT/CT time-points per cycle for [Formula: see text]Lu-DOTATATE therapy. EJNMMI Phys 2022;9:37. [PMID: 35575946 DOI: 10.1186/s40658-022-00462-2] [Reference Citation Analysis]
4 Kero T, Saraste A, Lagerqvist B, Sörensen J, Pikkarainen E, Lubberink M, Knuuti J. Quantitative myocardial perfusion response to adenosine and regadenoson in patients with suspected coronary artery disease. J Nucl Cardiol 2021. [PMID: 34386859 DOI: 10.1007/s12350-021-02731-6] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
5 Case JA. The Importance of Time-of-Flight Reconstruction and Point Spread Modeling in the Measurement of Myocardial Blood Flow Parameters. Curr Cardiol Rep 2021;23:77. [PMID: 34081208 DOI: 10.1007/s11886-021-01507-1] [Reference Citation Analysis]
6 Siekkinen R, Kirjavainen AK, Koskensalo K, Smith NAS, Fenwick A, Saunavaara V, Tolvanen T, Iida H, Saraste A, Teräs M, Teuho J. Assessment of a digital and an analog PET/CT system for accurate myocardial perfusion imaging with a flow phantom. J Nucl Cardiol 2021. [PMID: 33948894 DOI: 10.1007/s12350-021-02631-9] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
7 Sohn JH, Behr SC, Hernandez Pampaloni M, Seo Y. Quantitative Assessment of Myocardial Ischemia With Positron Emission Tomography. J Thorac Imaging 2021. [PMID: 33492046 DOI: 10.1097/RTI.0000000000000579] [Reference Citation Analysis]
8 Siekkinen R, Teuho J, Smith NAS, Fenwick A, Kirjavainen AK, Koskensalo K, Saraste A, Teräs M. Study of the Effect of Reconstruction Parameters for Myocardial Perfusion Imaging in PET With a Novel Flow Phantom. Front Phys 2020;8. [DOI: 10.3389/fphy.2020.00148] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
9 Kero T, Johansson E, Engström M, Eggers KM, Johansson L, Ahlström H, Lubberink M. Evaluation of quantitative CMR perfusion imaging by comparison with simultaneous 15O-water-PET. J Nucl Cardiol 2021;28:1252-66. [PMID: 31313066 DOI: 10.1007/s12350-019-01810-z] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
10 O' Doherty J, Chalampalakis Z, Schleyer P, Nazir MS, Chiribiri A, Marsden PK. The effect of high count rates on cardiac perfusion quantification in a simultaneous PET-MR system using a cardiac perfusion phantom. EJNMMI Phys 2017;4:31. [PMID: 29230607 DOI: 10.1186/s40658-017-0199-y] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 1.3] [Reference Citation Analysis]
11 O'Doherty J, Sammut E, Schleyer P, Stirling J, Nazir MS, Marsden PK, Chiribiri A. Feasibility of simultaneous PET-MR perfusion using a novel cardiac perfusion phantom. Eur J Hybrid Imaging 2017;1:4. [PMID: 29782598 DOI: 10.1186/s41824-017-0008-9] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]