BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

567 related articles for article (PubMed ID: 30592540)

  • 1. 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]  

  • 2. 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]  

  • 3. Feasibility of using abbreviated scan protocols with population-based input functions for accurate kinetic modeling of [
    Sari H; Eriksson L; Mingels C; Alberts I; Casey ME; Afshar-Oromieh A; Conti M; Cumming P; Shi K; Rominger A
    Eur J Nucl Med Mol Imaging; 2023 Jan; 50(2):257-265. PubMed ID: 36192468
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Performance evaluation of kinetic parameter estimation methods in dynamic FDG-PET studies.
    Dai X; Chen Z; Tian J
    Nucl Med Commun; 2011 Jan; 32(1):4-16. PubMed ID: 21166088
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Generalized whole-body Patlak parametric imaging for enhanced quantification in clinical PET.
    Karakatsanis NA; Zhou Y; Lodge MA; Casey ME; Wahl RL; Zaidi H; Rahmim A
    Phys Med Biol; 2015 Nov; 60(22):8643-73. PubMed ID: 26509251
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Accurate total-body K
    Chen Z; Cheng Z; Duan Y; Zhang Q; Zhang N; Gu F; Wang Y; Zhou Y; Wang H; Liang D; Zheng H; Hu Z
    Med Phys; 2023 Apr; 50(4):2121-2134. PubMed ID: 35950784
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Dynamic whole-body PET parametric imaging: II. Task-oriented statistical estimation.
    Karakatsanis NA; Lodge MA; Zhou Y; Wahl RL; Rahmim A
    Phys Med Biol; 2013 Oct; 58(20):7419-45. PubMed ID: 24080994
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Generation of parametric K
    Wu J; Liu H; Ye Q; Gallezot JD; Naganawa M; Miao T; Lu Y; Chen MK; Esserman DA; Kyriakides TC; Carson RE; Liu C
    Med Phys; 2021 Sep; 48(9):5219-5231. PubMed ID: 34287939
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Source-to-Target Automatic Rotating Estimation (STARE) - A publicly-available, blood-free quantification approach for PET tracers with irreversible kinetics: Theoretical framework and validation for [
    Bartlett EA; Ogden RT; Mann JJ; Zanderigo F
    Neuroimage; 2022 Apr; 249():118901. PubMed ID: 35026425
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Intrahepatic fluorine-18-fluorodeoxyglucose kinetics measured by least squares nonlinear computer modelling and Gjedde-Patlak-Rutland graphical analysis.
    Keramida G; Gregg S; Peters AM
    Nucl Med Commun; 2019 Jul; 40(7):675-683. PubMed ID: 31116146
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Short-time total-body dynamic PET imaging performance in quantifying the kinetic metrics of
    Liu G; Yu H; Shi D; Hu P; Hu Y; Tan H; Zhang Y; Yin H; Shi H
    Eur J Nucl Med Mol Imaging; 2022 Jul; 49(8):2493-2503. PubMed ID: 34417855
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dynamic PET image reconstruction integrating temporal regularization associated with respiratory motion correction for applications in oncology.
    Merlin T; Visvikis D; Fernandez P; Lamare F
    Phys Med Biol; 2018 Feb; 63(4):045012. PubMed ID: 29339575
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Robustness of post-reconstruction and direct kinetic parameter estimates under rigid head motion in dynamic brain PET imaging.
    Kotasidis FA; Angelis GI; Anton-Rodriguez JM; Zaidi H
    Phys Med; 2018 Sep; 53():40-55. PubMed ID: 30241754
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Direct inference of Patlak parametric images in whole-body PET/CT imaging using convolutional neural networks.
    Zaker N; Haddad K; Faghihi R; Arabi H; Zaidi H
    Eur J Nucl Med Mol Imaging; 2022 Oct; 49(12):4048-4063. PubMed ID: 35716176
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dynamic whole-body PET parametric imaging: I. Concept, acquisition protocol optimization and clinical application.
    Karakatsanis NA; Lodge MA; Tahari AK; Zhou Y; Wahl RL; Rahmim A
    Phys Med Biol; 2013 Oct; 58(20):7391-418. PubMed ID: 24080962
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Whole-body direct 4D parametric PET imaging employing nested generalized Patlak expectation-maximization reconstruction.
    Karakatsanis NA; Casey ME; Lodge MA; Rahmim A; Zaidi H
    Phys Med Biol; 2016 Aug; 61(15):5456-85. PubMed ID: 27383991
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Kinetic modelling using basis functions derived from two-tissue compartmental models with a plasma input function: general principle and application to [18F]fluorodeoxyglucose positron emission tomography.
    Hong YT; Fryer TD
    Neuroimage; 2010 May; 51(1):164-72. PubMed ID: 20156574
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 29.