BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1352 related articles for article (PubMed ID: 24320449)

  • 1. A full-spectral Bayesian reconstruction approach based on the material decomposition model applied in dual-energy computed tomography.
    Cai C; Rodet T; Legoupil S; Mohammad-Djafari A
    Med Phys; 2013 Nov; 40(11):111916. PubMed ID: 24320449
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exact dual energy material decomposition from inconsistent rays (MDIR).
    Maass C; Meyer E; Kachelriess M
    Med Phys; 2011 Feb; 38(2):691-700. PubMed ID: 21452706
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A neural network-based method for spectral distortion correction in photon counting x-ray CT.
    Touch M; Clark DP; Barber W; Badea CT
    Phys Med Biol; 2016 Aug; 61(16):6132-53. PubMed ID: 27469292
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A general framework of noise suppression in material decomposition for dual-energy CT.
    Petrongolo M; Dong X; Zhu L
    Med Phys; 2015 Aug; 42(8):4848-62. PubMed ID: 26233212
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combined iterative reconstruction and image-domain decomposition for dual energy CT using total-variation regularization.
    Dong X; Niu T; Zhu L
    Med Phys; 2014 May; 41(5):051909. PubMed ID: 24784388
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Empirical beam hardening correction (EBHC) for CT.
    Kyriakou Y; Meyer E; Prell D; Kachelriess M
    Med Phys; 2010 Oct; 37(10):5179-87. PubMed ID: 21089751
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Segmentation-free empirical beam hardening correction for CT.
    Schüller S; Sawall S; Stannigel K; Hülsbusch M; Ulrici J; Hell E; Kachelrieß M
    Med Phys; 2015 Feb; 42(2):794-803. PubMed ID: 25652493
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Iterative dual energy material decomposition from spatial mismatched raw data sets.
    Zhao X; Hu JJ; Zhao YS; Zhang HT; Zhang P
    J Xray Sci Technol; 2014; 22(6):745-62. PubMed ID: 25408391
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Addressing CT metal artifacts using photon-counting detectors and one-step spectral CT image reconstruction.
    Schmidt TG; Sammut BA; Barber RF; Pan X; Sidky EY
    Med Phys; 2022 May; 49(5):3021-3040. PubMed ID: 35318699
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A model-based iterative reconstruction algorithm DIRA using patient-specific tissue classification via DECT for improved quantitative CT in dose planning.
    Malusek A; Magnusson M; Sandborg M; Alm Carlsson G
    Med Phys; 2017 Jun; 44(6):2345-2357. PubMed ID: 28369941
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Model-Based Iterative Reconstruction for Dual-Energy X-Ray CT Using a Joint Quadratic Likelihood Model.
    Zhang R; Thibault JB; Bouman CA; Sauer KD; Hsieh J
    IEEE Trans Med Imaging; 2014 Jan; 33(1):117-34. PubMed ID: 24058024
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quantitative material decomposition using spectral computed tomography with an energy-resolved photon-counting detector.
    Lee S; Choi YN; Kim HJ
    Phys Med Biol; 2014 Sep; 59(18):5457-82. PubMed ID: 25164993
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Regularization of nonlinear decomposition of spectral x-ray projection images.
    Ducros N; Abascal JFP; Sixou B; Rit S; Peyrin F
    Med Phys; 2017 Sep; 44(9):e174-e187. PubMed ID: 28901616
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Information-theoretic discrepancy based iterative reconstructions (IDIR) for polychromatic x-ray tomography.
    Jang KE; Lee J; Sung Y; Lee S
    Med Phys; 2013 Sep; 40(9):091908. PubMed ID: 24007159
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Reduction of metal artifact in single photon-counting computed tomography by spectral-driven iterative reconstruction technique.
    Nasirudin RA; Mei K; Penchev P; Fehringer A; Pfeiffer F; Rummeny EJ; Fiebich M; Noël PB
    PLoS One; 2015; 10(5):e0124831. PubMed ID: 25955019
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Performance of today's dual energy CT and future multi energy CT in virtual non-contrast imaging and in iodine quantification: A simulation study.
    Faby S; Kuchenbecker S; Sawall S; Simons D; Schlemmer HP; Lell M; Kachelrieß M
    Med Phys; 2015 Jul; 42(7):4349-66. PubMed ID: 26133632
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Denoising of polychromatic CT images based on their own noise properties.
    Kim JH; Chang Y; Ra JB
    Med Phys; 2016 May; 43(5):2251. PubMed ID: 27147337
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Impact of joint statistical dual-energy CT reconstruction of proton stopping power images: Comparison to image- and sinogram-domain material decomposition approaches.
    Zhang S; Han D; Politte DG; Williamson JF; O'Sullivan JA
    Med Phys; 2018 May; 45(5):2129-2142. PubMed ID: 29570809
    [TBL] [Abstract][Full Text] [Related]  

  • 19. CT energy weighting in the presence of scatter and limited energy resolution.
    Schmidt TG
    Med Phys; 2010 Mar; 37(3):1056-67. PubMed ID: 20384241
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A material decomposition method for dual-energy CT via dual interactive Wasserstein generative adversarial networks.
    Shi Z; Li H; Cao Q; Wang Z; Cheng M
    Med Phys; 2021 Jun; 48(6):2891-2905. PubMed ID: 33704786
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 68.