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For: Gillman A, Smith J, Thomas P, Rose S, Dowson N. PET motion correction in context of integrated PET/MR: Current techniques, limitations, and future projections. Med Phys 2017;44:e430-45. [DOI: 10.1002/mp.12577] [Cited by in Crossref: 13] [Cited by in F6Publishing: 15] [Article Influence: 2.6] [Reference Citation Analysis]
Number Citing Articles
1 Pain CD, Egan GF, Chen Z. Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement. Eur J Nucl Med Mol Imaging. [DOI: 10.1007/s00259-022-05746-4] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
2 Einspänner E, Jochimsen TH, Harries J, Melzer A, Unger M, Brown R, Thielemans K, Sabri O, Sattler B. Evaluating different methods of MR-based motion correction in simultaneous PET/MR using a head phantom moved by a robotic system. EJNMMI Phys 2022;9:15. [PMID: 35239047 DOI: 10.1186/s40658-022-00442-6] [Reference Citation Analysis]
3 Tamaki N, Kotani T, Nishimura M, Kaji T. Dynamic whole-body FDG-PET imaging for oncology studies. Clin Transl Imaging. [DOI: 10.1007/s40336-022-00479-8] [Reference Citation Analysis]
4 Bogdanovic B, Solari EL, Villagran Asiares A, McIntosh L, van Marwick S, Schachoff S, Nekolla SG. PET/MR Technology: Advancement and Challenges. Semin Nucl Med 2021:S0001-2998(21)00101-X. [PMID: 34969520 DOI: 10.1053/j.semnuclmed.2021.11.014] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Chen C, Margolis DJ. Prostate-Specific Membrane Antigen (PSMA) PET: A Counterpart to Prostate MRI. Semin Roentgenol 2021;56:376-83. [PMID: 34688340 DOI: 10.1053/j.ro.2021.08.006] [Reference Citation Analysis]
6 Kure AJ, Savas H, Hijaz TA, Hussaini SF, Korutz AW. Advancements in Positron Emission Tomography/Magnetic Resonance Imaging and Applications to Diagnostic Challenges in Neuroradiology. Semin Ultrasound CT MR 2021;42:434-51. [PMID: 34537113 DOI: 10.1053/j.sult.2021.07.002] [Reference Citation Analysis]
7 Polycarpou I, Soultanidis G, Tsoumpas C. Synergistic motion compensation strategies for positron emission tomography when acquired simultaneously with magnetic resonance imaging. Philos Trans A Math Phys Eng Sci 2021;379:20200207. [PMID: 34218675 DOI: 10.1098/rsta.2020.0207] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
8 Brown R, Kolbitsch C, Delplancke C, Papoutsellis E, Mayer J, Ovtchinnikov E, Pasca E, Neji R, da Costa-Luis C, Gillman AG, Ehrhardt MJ, McClelland JR, Eiben B, Thielemans K. Motion estimation and correction for simultaneous PET/MR using SIRF and CIL. Philos Trans A Math Phys Eng Sci 2021;379:20200208. [PMID: 34218674 DOI: 10.1098/rsta.2020.0208] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Driscoll B, Vines D, Shek T, Publicover J, Yeung I, Breen S, Jaffray D. 4D-CT Attenuation Correction in Respiratory-Gated PET for Hypoxia Imaging: Is It Really Beneficial? Tomography 2020;6:241-9. [PMID: 32548302 DOI: 10.18383/j.tom.2019.00027] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Nogami M, Zeng F, Inukai J, Watanabe Y, Nishio M, Kanda T, Ueno YR, Sofue K, Kono AK, Hori M, Ohnishi A, Kubo K, Kurimoto T, Murakami T. Physiological skin FDG uptake: A quantitative and regional distribution assessment using PET/MRI. PLoS One 2021;16:e0249304. [PMID: 33770111 DOI: 10.1371/journal.pone.0249304] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Marin T, Djebra Y, Han PK, Chemli Y, Bloch I, El Fakhri G, Ouyang J, Petibon Y, Ma C. Motion correction for PET data using subspace-based real-time MR imaging in simultaneous PET/MR. Phys Med Biol 2020;65:235022. [PMID: 33263317 DOI: 10.1088/1361-6560/abb31d] [Cited by in Crossref: 1] [Cited by in F6Publishing: 4] [Article Influence: 0.5] [Reference Citation Analysis]
12 Sun T, Petibon Y, Han PK, Ma C, Kim SJW, Alpert NM, El Fakhri G, Ouyang J. Body motion detection and correction in cardiac PET: Phantom and human studies. Med Phys 2019;46:4898-906. [PMID: 31508827 DOI: 10.1002/mp.13815] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
13 Inomata T, Watanuki S, Odagiri H, Nambu T, Karakatsanis NA, Ito H, Watabe H, Tashiro M, Shidahara M. A systematic performance evaluation of head motion correction techniques for 3 commercial PET scanners using a reproducible experimental acquisition protocol. Ann Nucl Med 2019;33:459-70. [DOI: 10.1007/s12149-019-01353-w] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 1.7] [Reference Citation Analysis]
14 Marchesseau S, Totman JJ, Fadil H, Leek FAA, Chaal J, Richards M, Chan M, Reilhac A. Cardiac motion and spillover correction for quantitative PET imaging using dynamic MRI. Med Phys 2019;46:726-37. [PMID: 30575047 DOI: 10.1002/mp.13345] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
15 Spangler-Bickell MG, Khalighi MM, Hoo C, DiGiacomo PS, Maclaren J, Aksoy M, Rettmann D, Bammer R, Zaharchuk G, Zeineh M, Jansen F. Rigid Motion Correction for Brain PET/MR Imaging using Optical Tracking. IEEE Trans Radiat Plasma Med Sci 2019;3:498-503. [PMID: 31396580 DOI: 10.1109/TRPMS.2018.2878978] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 3.5] [Reference Citation Analysis]