834 related articles for article (PubMed ID: 15889551)
1. 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]
2. 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]
3. Quality and precision of parametric images created from PET sinogram data by direct reconstruction: proof of concept.
Kamasak ME; Christian BT; Bouman CA; Morris ED
IEEE Trans Med Imaging; 2014 Mar; 33(3):695-707. PubMed ID: 24595343
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Direct parametric reconstruction in dynamic PET myocardial perfusion imaging: in vivo studies.
Petibon Y; Rakvongthai Y; El Fakhri G; Ouyang J
Phys Med Biol; 2017 May; 62(9):3539-3565. PubMed ID: 28379843
[TBL] [Abstract][Full Text] [Related]
6. Anatomical-based FDG-PET reconstruction for the detection of hypo-metabolic regions in epilepsy.
Baete K; Nuyts J; Van Paesschen W; Suetens P; Dupont P
IEEE Trans Med Imaging; 2004 Apr; 23(4):510-9. PubMed ID: 15084076
[TBL] [Abstract][Full Text] [Related]
7. Simultaneous estimation and segmentation from projection data in dynamic PET.
Cui J; Yu H; Chen S; Chen Y; Liu H
Med Phys; 2019 Mar; 46(3):1245-1259. PubMed ID: 30593666
[TBL] [Abstract][Full Text] [Related]
8. FDG-PET parametric imaging by total variation minimization.
Guo H; Renaut RA; Chen K; Reiman E
Comput Med Imaging Graph; 2009 Jun; 33(4):295-303. PubMed ID: 19261438
[TBL] [Abstract][Full Text] [Related]
9. Simultaneous segmentation, kinetic parameter estimation, and uncertainty visualization of dynamic PET images.
Saad A; Smith B; Hamarneh G; Möller T
Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):726-33. PubMed ID: 18044633
[TBL] [Abstract][Full Text] [Related]
10. A scatter-corrected list-mode reconstruction and a practical scatter/random approximation technique for dynamic PET imaging.
Cheng JC; Rahmim A; Blinder S; Camborde ML; Raywood K; Sossi V
Phys Med Biol; 2007 Apr; 52(8):2089-106. PubMed ID: 17404457
[TBL] [Abstract][Full Text] [Related]
11. Impact of time-of-flight on indirect 3D and direct 4D parametric image reconstruction in the presence of inconsistent dynamic PET data.
Kotasidis FA; Mehranian A; Zaidi H
Phys Med Biol; 2016 May; 61(9):3443-71. PubMed ID: 27049697
[TBL] [Abstract][Full Text] [Related]
12. Compressed sensing for reduction of noise and artefacts in direct PET image reconstruction.
Richter D; Basse-Lüsebrink TC; Kampf T; Fischer A; Israel I; Schneider M; Jakob PM; Samnick S
Z Med Phys; 2014 Mar; 24(1):16-26. PubMed ID: 23756331
[TBL] [Abstract][Full Text] [Related]
13. Quantification method in [18F]fluorodeoxyglucose brain positron emission tomography using independent component analysis.
Su KH; Wu LC; Liu RS; Wang SJ; Chen JC
Nucl Med Commun; 2005 Nov; 26(11):995-1004. PubMed ID: 16208178
[TBL] [Abstract][Full Text] [Related]
14. Study of direct and indirect parametric estimation methods of linear models in dynamic positron emission tomography.
Tsoumpas C; Turkheimer FE; Thielemans K
Med Phys; 2008 Apr; 35(4):1299-309. PubMed ID: 18491524
[TBL] [Abstract][Full Text] [Related]
15. The influence of noise in full Monte Carlo ML-EM and dual matrix reconstructions in positron emission tomography.
Rehfeld N; Alber M
Med Phys; 2006 Sep; 33(9):3498-507. PubMed ID: 17022246
[TBL] [Abstract][Full Text] [Related]
16. Statistical dynamic image reconstruction in state-of-the-art high-resolution PET.
Rahmim A; Cheng JC; Blinder S; Camborde ML; Sossi V
Phys Med Biol; 2005 Oct; 50(20):4887-912. PubMed ID: 16204879
[TBL] [Abstract][Full Text] [Related]
17. Simulation-based evaluation of OSEM iterative reconstruction methods in dynamic brain PET studies.
Reilhac A; Tomeï S; Buvat I; Michel C; Keheren F; Costes N
Neuroimage; 2008 Jan; 39(1):359-68. PubMed ID: 17920931
[TBL] [Abstract][Full Text] [Related]
18. Comparison between MAP and postprocessed ML for image reconstruction in emission tomography when anatomical knowledge is available.
Nuyts J; Baete K; Bequé D; Dupont P
IEEE Trans Med Imaging; 2005 May; 24(5):667-75. PubMed ID: 15889553
[TBL] [Abstract][Full Text] [Related]
19. Genetic algorithms for finite mixture model based voxel classification in neuroimaging.
Tohka J; Krestyannikov E; Dinov ID; Graham AM; Shattuck DW; Ruotsalainen U; Toga AW
IEEE Trans Med Imaging; 2007 May; 26(5):696-711. PubMed ID: 17518064
[TBL] [Abstract][Full Text] [Related]
20. Non-Gaussian smoothing of low-count transmission scans for PET whole-body studies.
Pawitan Y; Bettinardi V; Teräs M
IEEE Trans Med Imaging; 2005 Jan; 24(1):122-9. PubMed ID: 15638191
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
