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For: Mohy-Ud-Din H, Lodge MA, Rahmim A. Quantitative myocardial perfusion PET parametric imaging at the voxel-level. Phys Med Biol 2015;60:6013-37. [PMID: 26216052 DOI: 10.1088/0031-9155/60/15/6013] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 1.6] [Reference Citation Analysis]
Number Citing Articles
1 Liu H, Wu J, Sun J, Wu T, Fazzone‐chettiar R, Thorn S, Sinusas AJ, Liu Y. A robust segmentation method with triple‐factor non‐negative matrix factorization for myocardial blood flow quantification from dynamic 82 Rb positron emission tomography. Med Phys 2019;46:5002-5013. [DOI: 10.1002/mp.13783] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
2 Spagnolo PA, Kimes A, Schwandt ML, Shokri-Kojori E, Thada S, Phillips KA, Diazgranados N, Preston KL, Herscovitch P, Tomasi D, Ramchandani VA, Heilig M. Striatal Dopamine Release in Response to Morphine: A [11C]Raclopride Positron Emission Tomography Study in Healthy Men. Biol Psychiatry 2019;86:356-64. [PMID: 31097294 DOI: 10.1016/j.biopsych.2019.03.965] [Cited by in Crossref: 16] [Cited by in F6Publishing: 16] [Article Influence: 5.3] [Reference Citation Analysis]
3 Rahmim A, Lodge MA, Karakatsanis NA, Panin VY, Zhou Y, McMillan A, Cho S, Zaidi H, Casey ME, Wahl RL. Dynamic whole-body PET imaging: principles, potentials and applications. Eur J Nucl Med Mol Imaging 2019;46:501-18. [PMID: 30269154 DOI: 10.1007/s00259-018-4153-6] [Cited by in Crossref: 88] [Cited by in F6Publishing: 62] [Article Influence: 22.0] [Reference Citation Analysis]
4 Xu Z, Gao M, Papadakis GZ, Luna B, Jain S, Mollura DJ, Bagci U. Joint solution for PET image segmentation, denoising, and partial volume correction. Med Image Anal 2018;46:229-43. [PMID: 29627687 DOI: 10.1016/j.media.2018.03.007] [Cited by in Crossref: 26] [Cited by in F6Publishing: 15] [Article Influence: 6.5] [Reference Citation Analysis]
5 Lu L, Ma X, Mohy-ud-din H, Ma J, Feng Q, Rahmim A, Chen W. Enhancement of dynamic myocardial perfusion PET images based on low-rank plus sparse decomposition. Computer Methods and Programs in Biomedicine 2018;154:57-69. [DOI: 10.1016/j.cmpb.2017.10.020] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
6 Wiyaporn K, Tocharoenchai C, Pusuwan P, Higuchi T, Fung GS, Feng T, Park MJ, Tsui BM. Optimization of imaging protocols for myocardial blood flow (MBF) quantification with 18 F-flurpiridaz PET. Physica Medica 2017;42:127-34. [DOI: 10.1016/j.ejmp.2017.08.002] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
7 Chung KS, Nguyen PK. Non-invasive measures of coronary microcirculation: Taking the long road to the clinic. J Nucl Cardiol 2018;25:2112-5. [PMID: 28721646 DOI: 10.1007/s12350-017-0972-2] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.4] [Reference Citation Analysis]
8 Mohy-Ud-Din H, Boutagy NE, Stendahl JC, Zhuang ZW, Sinusas AJ, Liu C. Quantification of intramyocardial blood volume with 99mTc-RBC SPECT-CT imaging: A preclinical study. J Nucl Cardiol 2018;25:2096-111. [PMID: 28695406 DOI: 10.1007/s12350-017-0970-4] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 1.4] [Reference Citation Analysis]
9 Yin L, Xu H, Zheng S, Zhu Y, Xiao J, Zhou W, Yu S, Gong L. 3.0 T magnetic resonance myocardial perfusion imaging for semi-quantitative evaluation of coronary microvascular dysfunction in hypertrophic cardiomyopathy. Int J Cardiovasc Imaging 2017;33:1949-59. [DOI: 10.1007/s10554-017-1189-9] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 2.6] [Reference Citation Analysis]
10 Germino M, Gallezot JD, Yan J, Carson RE. Direct reconstruction of parametric images for brain PET with event-by-event motion correction: evaluation in two tracers across count levels. Phys Med Biol 2017;62:5344-64. [PMID: 28504644 DOI: 10.1088/1361-6560/aa731f] [Cited by in Crossref: 12] [Cited by in F6Publishing: 13] [Article Influence: 2.4] [Reference Citation Analysis]
11 Gong K, Cherry SR, Qi J. On the assessment of spatial resolution of PET systems with iterative image reconstruction. Phys Med Biol 2016;61:N193-202. [PMID: 26864088 DOI: 10.1088/0031-9155/61/5/N193] [Cited by in Crossref: 46] [Cited by in F6Publishing: 47] [Article Influence: 7.7] [Reference Citation Analysis]
12 Eck BL, Fahmi R, Levi J, Fares A, Wu H, Li Y, Vembar M, Dhanantwari A, Bezerra HG, Wilson DL. Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images. Proc SPIE Int Soc Opt Eng 2016;9788:97882F. [PMID: 29568147 DOI: 10.1117/12.2217027] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 0.7] [Reference Citation Analysis]