BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

504 related articles for article (PubMed ID: 32060780)

  • 1. The value of Bayesian penalized likelihood reconstruction for improving lesion conspicuity of malignant lung tumors on
    Kurita Y; Ichikawa Y; Nakanishi T; Tomita Y; Hasegawa D; Murashima S; Hirano T; Sakuma H
    Ann Nucl Med; 2020 Apr; 34(4):272-279. PubMed ID: 32060780
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation and Optimization of a New PET Reconstruction Algorithm, Bayesian Penalized Likelihood Reconstruction, for Lung Cancer Assessment According to Lesion Size.
    Otani T; Hosono M; Kanagaki M; Onishi Y; Matsubara N; Kawabata K; Kimura H
    AJR Am J Roentgenol; 2019 Aug; 213(2):W50-W56. PubMed ID: 30995096
    [No Abstract]   [Full Text] [Related]  

  • 3. Changes of [
    Liu Y; Gao MJ; Zhou J; Du F; Chen L; Huang ZK; Hu JB; Lou C
    BMC Med Imaging; 2021 Sep; 21(1):133. PubMed ID: 34530768
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Impact of time of flight and point spread function on quantitative parameters of lung lesions in
    Huang K; Feng Y; Liang W; Li L
    BMC Med Imaging; 2021 Nov; 21(1):169. PubMed ID: 34773998
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Determination of optimal regularization factor in Bayesian penalized likelihood reconstruction of brain PET images using [
    Wagatsuma K; Miwa K; Kamitaka Y; Koike E; Yamao T; Yoshii T; Kobayashi R; Nezu S; Sugamata Y; Miyaji N; Imabayashi E; Ishibashi K; Toyohara J; Ishii K
    Med Phys; 2022 May; 49(5):2995-3005. PubMed ID: 35246870
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Optimizing scan time and bayesian penalized likelihood reconstruction algorithm in copper-64 PET/CT imaging: a phantom study.
    Monsef A; Sheikhzadeh P; Steiner JR; Sadeghi F; Yazdani M; Ghafarian P
    Biomed Phys Eng Express; 2024 May; 10(4):. PubMed ID: 38608316
    [No Abstract]   [Full Text] [Related]  

  • 7. Does a novel penalized likelihood reconstruction of 18F-FDG PET-CT improve signal-to-background in colorectal liver metastases?
    Parvizi N; Franklin JM; McGowan DR; Teoh EJ; Bradley KM; Gleeson FV
    Eur J Radiol; 2015 Oct; 84(10):1873-8. PubMed ID: 26163992
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of quantitative whole body PET parameters on [
    Ayati N; McIntosh L; Buteau J; Alipour R; Pudis M; Daw N; Jackson P; Hofman MS
    Cancer Imaging; 2024 May; 24(1):57. PubMed ID: 38711135
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Detection of sub-centimeter lesions using digital TOF-PET/CT system combined with Bayesian penalized likelihood reconstruction algorithm.
    Miwa K; Wagatsuma K; Nemoto R; Masubuchi M; Kamitaka Y; Yamao T; Hiratsuka S; Yamaguchi M; Yoshii T; Kobayashi R; Miyaji N; Ishii K
    Ann Nucl Med; 2020 Oct; 34(10):762-771. PubMed ID: 32623569
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bayesian penalised likelihood reconstruction (Q.Clear) of
    Teoh EJ; McGowan DR; Schuster DM; Tsakok MT; Gleeson FV; Bradley KM
    Br J Radiol; 2018 May; 91(1085):20170727. PubMed ID: 29303359
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effects of New Bayesian Penalized Likelihood Reconstruction Algorithm on Visualization and Quantification of Upper Abdominal Malignant Tumors in Clinical FDG PET/CT Examinations.
    Tatsumi M; Soeda F; Kamiya T; Ueda J; Katayama D; Matsunaga K; Watabe T; Kato H; Tomiyama N
    Front Oncol; 2021; 11():707023. PubMed ID: 34485143
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Effect of a Bayesian Penalized Likelihood PET Reconstruction Compared With Ordered Subset Expectation Maximization on Clinical Image Quality Over a Wide Range of Patient Weights.
    Chilcott AK; Bradley KM; McGowan DR
    AJR Am J Roentgenol; 2018 Jan; 210(1):153-157. PubMed ID: 29091008
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of Penalized-Likelihood Estimation Reconstruction on a Digital Time-of-Flight PET/CT Scanner for
    Lindström E; Sundin A; Trampal C; Lindsjö L; Ilan E; Danfors T; Antoni G; Sörensen J; Lubberink M
    J Nucl Med; 2018 Jul; 59(7):1152-1158. PubMed ID: 29449445
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Bayesian penalized-likelihood reconstruction algorithm suppresses edge artifacts in PET reconstruction based on point-spread-function.
    Yamaguchi S; Wagatsuma K; Miwa K; Ishii K; Inoue K; Fukushi M
    Phys Med; 2018 Mar; 47():73-79. PubMed ID: 29609821
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improvement in PET/CT image quality with a combination of point-spread function and time-of-flight in relation to reconstruction parameters.
    Akamatsu G; Ishikawa K; Mitsumoto K; Taniguchi T; Ohya N; Baba S; Abe K; Sasaki M
    J Nucl Med; 2012 Nov; 53(11):1716-22. PubMed ID: 22952340
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation of a Bayesian penalized likelihood reconstruction algorithm for low-count clinical
    Te Riet J; Rijnsdorp S; Roef MJ; Arends AJ
    EJNMMI Phys; 2019 Dec; 6(1):32. PubMed ID: 31889228
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Phantom and Clinical Evaluation of the Bayesian Penalized Likelihood Reconstruction Algorithm Q.Clear on an LYSO PET/CT System.
    Teoh EJ; McGowan DR; Macpherson RE; Bradley KM; Gleeson FV
    J Nucl Med; 2015 Sep; 56(9):1447-52. PubMed ID: 26159585
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clinical evaluation of a block sequential regularized expectation maximization reconstruction algorithm in 18F-FDG PET/CT studies.
    Sah BR; Stolzmann P; Delso G; Wollenweber SD; Hüllner M; Hakami YA; Queiroz MA; Barbosa FG; von Schulthess GK; Pietsch C; Veit-Haibach P
    Nucl Med Commun; 2017 Jan; 38(1):57-66. PubMed ID: 27755394
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A clinical evaluation of the impact of the Bayesian penalized likelihood reconstruction algorithm on PET FDG metrics.
    Vallot D; Caselles O; Chaltiel L; Fernandez A; Gabiache E; Dierickx L; Zerdoud S; Bauriaud M; Courbon F
    Nucl Med Commun; 2017 Nov; 38(11):979-984. PubMed ID: 29045338
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Influence of Reconstruction FOV and Matrix Size on the Quantitative Accuracy of FDG-PET: Comparison between OSEM and Bayesian Penalized Likelihood].
    Mikami S; Nakamura F; Nakamura A; Torizuka T
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2021; 77(5):454-462. PubMed ID: 34011788
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.