121 related articles for article (PubMed ID: 23611334)
1. SAKE: a new quantification tool for positron emission tomography studies.
Veronese M; Rizzo G; Turkheimer FE; Bertoldo A
Comput Methods Programs Biomed; 2013 Jul; 111(1):199-213. PubMed ID: 23611334
[TBL] [Abstract][Full Text] [Related]
2. Spectral Analysis of Dynamic PET Studies: A Review of 20 Years of Method Developments and Applications.
Veronese M; Rizzo G; Bertoldo A; Turkheimer FE
Comput Math Methods Med; 2016; 2016():7187541. PubMed ID: 28050197
[TBL] [Abstract][Full Text] [Related]
3. Voxelwise quantification of [(11)C](R)-rolipram PET data: a comparison between model-based and data-driven methods.
Rizzo G; Veronese M; Zanotti-Fregonara P; Bertoldo A
J Cereb Blood Flow Metab; 2013 Jul; 33(7):1032-40. PubMed ID: 23512132
[TBL] [Abstract][Full Text] [Related]
4. Rank-shaping regularization of exponential spectral analysis for application to functional parametric mapping.
Turkheimer FE; Hinz R; Gunn RN; Aston JA; Gunn SR; Cunningham VJ
Phys Med Biol; 2003 Dec; 48(23):3819-41. PubMed ID: 14703160
[TBL] [Abstract][Full Text] [Related]
5. An open tool for input function estimation and quantification of dynamic PET FDG brain scans.
Bertrán M; Martínez N; Carbajal G; Fernández A; Gómez Á
Int J Comput Assist Radiol Surg; 2016 Aug; 11(8):1419-30. PubMed ID: 26514683
[TBL] [Abstract][Full Text] [Related]
6. PET kinetic analysis: error consideration of quantitative analysis in dynamic studies.
Ikoma Y; Watabe H; Shidahara M; Naganawa M; Kimura Y
Ann Nucl Med; 2008 Jan; 22(1):1-11. PubMed ID: 18250982
[TBL] [Abstract][Full Text] [Related]
7. Multi-graphical analysis of dynamic PET.
Zhou Y; Ye W; Brasić JR; Wong DF
Neuroimage; 2010 Feb; 49(4):2947-57. PubMed ID: 19931403
[TBL] [Abstract][Full Text] [Related]
8. Global-two-stage filtering of clinical PET parametric maps: application to [(11)C]-(R)-PK11195.
Tomasi G; Bertoldo A; Cobelli C; Pavese N; Tai YF; Hammers A; Turkheimer FE
Neuroimage; 2011 Apr; 55(3):942-53. PubMed ID: 21195193
[TBL] [Abstract][Full Text] [Related]
9. A consistent and efficient graphical analysis method to improve the quantification of reversible tracer binding in radioligand receptor dynamic PET studies.
Zhou Y; Ye W; Brasić JR; Crabb AH; Hilton J; Wong DF
Neuroimage; 2009 Feb; 44(3):661-70. PubMed ID: 18930830
[TBL] [Abstract][Full Text] [Related]
10. Towards tracer dose reduction in PET studies: Simulation of dose reduction by retrospective randomized undersampling of list-mode data.
Gatidis S; Würslin C; Seith F; Schäfer JF; la Fougère C; Nikolaou K; Schwenzer NF; Schmidt H
Hell J Nucl Med; 2016; 19(1):15-8. PubMed ID: 26929936
[TBL] [Abstract][Full Text] [Related]
11. PET kinetic analysis: wavelet denoising of dynamic PET data with application to parametric imaging.
Shidahara M; Ikoma Y; Kershaw J; Kimura Y; Naganawa M; Watabe H
Ann Nucl Med; 2007 Sep; 21(7):379-86. PubMed ID: 17876550
[TBL] [Abstract][Full Text] [Related]
12. Evaluation of a compartmental model for estimating tumor hypoxia via FMISO dynamic PET imaging.
Wang W; Georgi JC; Nehmeh SA; Narayanan M; Paulus T; Bal M; O'Donoghue J; Zanzonico PB; Schmidtlein CR; Lee NY; Humm JL
Phys Med Biol; 2009 May; 54(10):3083-99. PubMed ID: 19420418
[TBL] [Abstract][Full Text] [Related]
13. Quantification of aromatase binding in the female human brain using [
Jonasson M; Nordeman P; Eriksson J; Wilking H; Wikström J; Takahashi K; Niwa T; Hosoya T; Watanabe Y; Antoni G; Sundström Poromaa I; Lubberink M; Comasco E
J Neurosci Res; 2020 Nov; 98(11):2208-2218. PubMed ID: 32761874
[TBL] [Abstract][Full Text] [Related]
14. A Unified Framework for Plasma Data Modeling in Dynamic Positron Emission Tomography Studies.
Tonietto M; Rizzo G; Veronese M; Borgan F; Bloomfield PS; Howes O; Bertoldo A
IEEE Trans Biomed Eng; 2019 May; 66(5):1447-1455. PubMed ID: 30307849
[TBL] [Abstract][Full Text] [Related]
15. Searching for alternatives to full kinetic analysis in 18F-FDG PET: an extension of the simplified kinetic analysis method.
Hapdey S; Buvat I; Carson JM; Carrasquillo JA; Whatley M; Bacharach SL
J Nucl Med; 2011 Apr; 52(4):634-41. PubMed ID: 21421718
[TBL] [Abstract][Full Text] [Related]
16. Comparative assessment of linear least-squares, nonlinear least-squares, and Patlak graphical method for regional and local quantitative tracer kinetic modeling in cerebral dynamic
Ben Bouallègue F; Vauchot F; Mariano-Goulart D
Med Phys; 2019 Mar; 46(3):1260-1271. PubMed ID: 30592540
[TBL] [Abstract][Full Text] [Related]
17. Using a reference tissue model with spatial constraint to quantify [11C]Pittsburgh compound B PET for early diagnosis of Alzheimer's disease.
Zhou Y; Resnick SM; Ye W; Fan H; Holt DP; Klunk WE; Mathis CA; Dannals R; Wong DF
Neuroimage; 2007 Jun; 36(2):298-312. PubMed ID: 17449282
[TBL] [Abstract][Full Text] [Related]
18. Parametric Method Performance for Dynamic 3'-Deoxy-3'-
Kramer GM; Frings V; Heijtel D; Smit EF; Hoekstra OS; Boellaard R;
J Nucl Med; 2017 Jun; 58(6):920-925. PubMed ID: 28572289
[TBL] [Abstract][Full Text] [Related]
19. Spectral analysis of dynamic PET studies.
Cunningham VJ; Jones T
J Cereb Blood Flow Metab; 1993 Jan; 13(1):15-23. PubMed ID: 8417003
[TBL] [Abstract][Full Text] [Related]
20. Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [
Nørgaard M; Ganz M; Svarer C; Frokjaer VG; Greve DN; Strother SC; Knudsen GM
Neuroimage; 2019 Oct; 199():466-479. PubMed ID: 31158479
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]