Bach M, Larsen M, Kellberg A, Henriksen A, Fuglsang S, Rasmussen I
J Cereb Blood Flow Metab. 2025; 271678X251313743.
PMID: 39829334
PMC: 11748137.
DOI: 10.1177/0271678X251313743.
Lan W, Sari H, Rominger A, Fougere C, Schmidt F
Eur J Nucl Med Mol Imaging. 2024; 51(11):3346-3359.
PMID: 38763962
PMC: 11368996.
DOI: 10.1007/s00259-024-06745-3.
Zhu Y, Tran Q, Wang Y, Badawi R, Cherry S, Qi J
Neuroimage. 2024; 293:120611.
PMID: 38643890
PMC: 11251003.
DOI: 10.1016/j.neuroimage.2024.120611.
Moradi H, Vashistha R, Ghosh S, OBrien K, Hammond A, Rominger A
EJNMMI Res. 2024; 14(1):33.
PMID: 38558200
PMC: 11372015.
DOI: 10.1186/s13550-024-01100-x.
Bucci M, Rebelos E, Oikonen V, Rinne J, Nummenmaa L, Iozzo P
Metabolites. 2024; 14(2).
PMID: 38393006
PMC: 10890269.
DOI: 10.3390/metabo14020114.
Comparison between a dual-time-window protocol and other simplified protocols for dynamic total-body F-FDG PET imaging.
Wang Z, Wu Y, Li X, Bai Y, Chen H, Ding J
EJNMMI Phys. 2022; 9(1):63.
PMID: 36104580
PMC: 9474964.
DOI: 10.1186/s40658-022-00492-w.
Patient-Adaptive Population-Based Modeling of Arterial Input Functions.
Xiu Z, Muzi M, Huang J, Wolsztynski E
IEEE Trans Med Imaging. 2022; 42(1):132-147.
PMID: 36094987
PMC: 10008518.
DOI: 10.1109/TMI.2022.3205940.
Total-Body PET Kinetic Modeling and Potential Opportunities Using Deep Learning.
Wang Y, Li E, Cherry S, Wang G
PET Clin. 2021; 16(4):613-625.
PMID: 34353745
PMC: 8453049.
DOI: 10.1016/j.cpet.2021.06.009.
Cerebral blood flow measurements with O-water PET using a non-invasive machine-learning-derived arterial input function.
Kuttner S, Wickstrom K, Lubberink M, Tolf A, Burman J, Sundset R
J Cereb Blood Flow Metab. 2021; 41(9):2229-2241.
PMID: 33557691
PMC: 8392760.
DOI: 10.1177/0271678X21991393.
Reliable quantification of F-GE-180 PET neuroinflammation studies using an individually scaled population-based input function or late tissue-to-blood ratio.
Buchert R, Dirks M, Schutze C, Wilke F, Mamach M, Wirries A
Eur J Nucl Med Mol Imaging. 2020; 47(12):2887-2900.
PMID: 32322915
PMC: 7651670.
DOI: 10.1007/s00259-020-04810-1.
Dynamic whole-body PET imaging: principles, potentials and applications.
Rahmim A, Lodge M, Karakatsanis N, Panin V, Zhou Y, McMillan A
Eur J Nucl Med Mol Imaging. 2018; 46(2):501-518.
PMID: 30269154
DOI: 10.1007/s00259-018-4153-6.
Feasibility study of TSPO quantification with [18F]FEPPA using population-based input function.
Mabrouk R, Strafella A, Knezevic D, Ghadery C, Mizrahi R, Gharehgazlou A
PLoS One. 2017; 12(5):e0177785.
PMID: 28545084
PMC: 5435246.
DOI: 10.1371/journal.pone.0177785.
Image-derived input function estimation on a TOF-enabled PET/MR for cerebral blood flow mapping.
Khalighi M, Deller T, Fan A, Gulaka P, Shen B, Singh P
J Cereb Blood Flow Metab. 2017; 38(1):126-135.
PMID: 28155582
PMC: 5757438.
DOI: 10.1177/0271678X17691784.
Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel partial volume correction method.
Sari H, Erlandsson K, Law I, Larsson H, Ourselin S, Arridge S
J Cereb Blood Flow Metab. 2016; 37(4):1398-1409.
PMID: 27342321
PMC: 5453460.
DOI: 10.1177/0271678X16656197.
Development and performance test of an online blood sampling system for determination of the arterial input function in rats.
Roehrbacher F, Bankstahl J, Bankstahl M, Wanek T, Stanek J, Sauberer M
EJNMMI Phys. 2015; 2(1):1.
PMID: 26501803
PMC: 4545758.
DOI: 10.1186/s40658-014-0106-8.
Metabolic changes in occipital lobe epilepsy with automatisms.
Wong C, Mohamed A, Wen L, Eberl S, Somerville E, Fulham M
Front Neurol. 2014; 5:135.
PMID: 25101053
PMC: 4106192.
DOI: 10.3389/fneur.2014.00135.
Automated identification of dementia using FDG-PET imaging.
Xia Y, Lu S, Wen L, Eberl S, Fulham M, Feng D
Biomed Res Int. 2014; 2014:421743.
PMID: 24672787
PMC: 3929290.
DOI: 10.1155/2014/421743.
(18)F-alfatide II and (18)F-FDG dual-tracer dynamic PET for parametric, early prediction of tumor response to therapy.
Guo J, Guo N, Lang L, Kiesewetter D, Xie Q, Li Q
J Nucl Med. 2013; 55(1):154-60.
PMID: 24232871
PMC: 4209961.
DOI: 10.2967/jnumed.113.122069.
Population-based input function modeling for [(18)F]FMPEP-d 2, an inverse agonist radioligand for cannabinoid CB1 receptors: validation in clinical studies.
Zanotti-Fregonara P, Hirvonen J, Lyoo C, Zoghbi S, Rallis-Frutos D, Huestis M
PLoS One. 2013; 8(4):e60231.
PMID: 23577094
PMC: 3618181.
DOI: 10.1371/journal.pone.0060231.
Improved derivation of input function in dynamic mouse [18F]FDG PET using bladder radioactivity kinetics.
Wong K, Zhang X, Huang S
Mol Imaging Biol. 2013; 15(4):486-96.
PMID: 23322346
PMC: 3812956.
DOI: 10.1007/s11307-013-0610-6.