179 related articles for article (PubMed ID: 11848713)
1. Improved parametric image generation using spatial-temporal analysis of dynamic PET studies.
Zhou Y; Huang SC; Bergsneider M; Wong DF
Neuroimage; 2002 Mar; 15(3):697-707. PubMed ID: 11848713
[TBL] [Abstract][Full Text] [Related]
2. Linear regression with spatial constraint to generate parametric images of ligand-receptor dynamic PET studies with a simplified reference tissue model.
Zhou Y; Endres CJ; Brasić JR; Huang SC; Wong DF
Neuroimage; 2003 Apr; 18(4):975-89. PubMed ID: 12725772
[TBL] [Abstract][Full Text] [Related]
3. A fast nonlinear method for parametric imaging of myocardial perfusion by dynamic (13)N-ammonia PET.
Golish SR; Hove JD; Schelbert HR; Gambhir SS
J Nucl Med; 2001 Jun; 42(6):924-31. PubMed ID: 11390558
[TBL] [Abstract][Full Text] [Related]
4. MAP-based kinetic analysis for voxel-by-voxel compartment model estimation: detailed imaging of the cerebral glucose metabolism using FDG.
Kimura Y; Naganawa M; Yamaguchi J; Takabayashi Y; Uchiyama A; Oda K; Ishii K; Ishiwata K
Neuroimage; 2006 Feb; 29(4):1203-11. PubMed ID: 16216532
[TBL] [Abstract][Full Text] [Related]
5. Evaluation of a direct 4D reconstruction method using generalised linear least squares for estimating nonlinear micro-parametric maps.
Angelis GI; Matthews JC; Kotasidis FA; Markiewicz PJ; Lionheart WR; Reader AJ
Ann Nucl Med; 2014 Nov; 28(9):860-73. PubMed ID: 25073760
[TBL] [Abstract][Full Text] [Related]
6. Direct reconstruction of kinetic parameter images from dynamic PET data.
Kamasak ME; Bouman CA; Morris ED; Sauer K
IEEE Trans Med Imaging; 2005 May; 24(5):636-50. PubMed ID: 15889551
[TBL] [Abstract][Full Text] [Related]
7. Indirect methods for improving parameter estimation of PET kinetic models.
Huang HM; Liu CC; Lin C
Med Phys; 2019 Apr; 46(4):1777-1784. PubMed ID: 30762875
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. Generation of parametric image of regional myocardial blood flow using H(2)(15)O dynamic PET and a linear least-squares method.
Lee JS; Lee DS; Ahn JY; Yeo JS; Cheon GJ; Kim SK; Park KS; Chung JK; Lee MC
J Nucl Med; 2005 Oct; 46(10):1687-95. PubMed ID: 16204719
[TBL] [Abstract][Full Text] [Related]
12. The direct calculation of parametric images from dynamic PET data using maximum-likelihood iterative reconstruction.
Matthews J; Bailey D; Price P; Cunningham V
Phys Med Biol; 1997 Jun; 42(6):1155-73. PubMed ID: 9194135
[TBL] [Abstract][Full Text] [Related]
13. Cluster analysis in kinetic modelling of the brain: a noninvasive alternative to arterial sampling.
Liptrot M; Adams KH; Martiny L; Pinborg LH; Lonsdale MN; Olsen NV; Holm S; Svarer C; Knudsen GM
Neuroimage; 2004 Feb; 21(2):483-93. PubMed ID: 14980551
[TBL] [Abstract][Full Text] [Related]
14. Wavelet analysis of dynamic PET data: application to the parametric imaging of benzodiazepine receptor concentration.
Millet P; Ibáñez V; Delforge J; Pappata S; Guimón J
Neuroimage; 2000 May; 11(5 Pt 1):458-72. PubMed ID: 10806032
[TBL] [Abstract][Full Text] [Related]
15. Fast determination method of cerebral metabolic rate images of glucose using dynamic PET data.
Obi T; Oku M; Yamaya T; Toyama H; Yamaguchi M; Ohyama N
Igaku Butsuri; 2002; 22(3):159-72. PubMed ID: 12766280
[TBL] [Abstract][Full Text] [Related]
16. Comparative evaluation of the algorithms for parametric mapping of the novel myocardial PET imaging agent
Kim JW; Seo S; Kim HS; Kim DY; Lee HY; Kang KW; Lee DS; Bom HS; Min JJ; Lee JS
Ann Nucl Med; 2017 Jul; 31(6):469-479. PubMed ID: 28444503
[TBL] [Abstract][Full Text] [Related]
17. Kernel-based curve-fitting method with spatial regularization for generation of parametric images in dynamic PET.
Huang HM
Phys Med Biol; 2020 Nov; 65(22):225006. PubMed ID: 33200750
[TBL] [Abstract][Full Text] [Related]
18. Fast parametric imaging algorithm for dual-input biomedical system parameter estimation.
Choi HC; Chen S; Feng D; Wong KP
Comput Methods Programs Biomed; 2006 Jan; 81(1):49-55. PubMed ID: 16376452
[TBL] [Abstract][Full Text] [Related]
19. Comparison of parametric FBP and OS-EM reconstruction algorithm images for PET dynamic study.
Oda K; Toyama H; Uemura K; Ikoma Y; Kimura Y; Senda M
Ann Nucl Med; 2001 Oct; 15(5):417-23. PubMed ID: 11758946
[TBL] [Abstract][Full Text] [Related]
20. Maximum a posteriori reconstruction of the Patlak parametric image from sinograms in dynamic PET.
Wang G; Fu L; Qi J
Phys Med Biol; 2008 Feb; 53(3):593-604. PubMed ID: 18199904
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]