These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

213 related articles for article (PubMed ID: 24903155)

  • 1. Improved total variation minimization method for few-view computed tomography image reconstruction.
    Hu Z; Zheng H
    Biomed Eng Online; 2014 Jun; 13():70. PubMed ID: 24903155
    [TBL] [Abstract][Full Text] [Related]  

  • 2. ℓ0 Gradient Minimization Based Image Reconstruction for Limited-Angle Computed Tomography.
    Yu W; Zeng L
    PLoS One; 2015; 10(7):e0130793. PubMed ID: 26158543
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A compressed sensing-based iterative algorithm for CT reconstruction and its possible application to phase contrast imaging.
    Li X; Luo S
    Biomed Eng Online; 2011 Aug; 10():73. PubMed ID: 21849088
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bone-induced streak artifact suppression in sparse-view CT image reconstruction.
    Jin SO; Kim JG; Lee SY; Kwon OK
    Biomed Eng Online; 2012 Aug; 11():44. PubMed ID: 22856868
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Iterative CT reconstruction via minimizing adaptively reweighted total variation.
    Zhu L; Niu T; Petrongolo M
    J Xray Sci Technol; 2014; 22(2):227-40. PubMed ID: 24699349
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Ultra-low dose quantitative CT myocardial perfusion imaging with sparse-view dynamic acquisition and image reconstruction: A feasibility study.
    Enjilela E; Lee TY; Hsieh J; Wisenberg G; Teefy P; Yadegari A; Bagur R; Islam A; Branch K; So A
    Int J Cardiol; 2018 Mar; 254():272-281. PubMed ID: 29223511
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adaptive-weighted high order TV algorithm for sparse-view CT reconstruction.
    Xi Y; Zhou P; Yu H; Zhang T; Zhang L; Qiao Z; Liu F
    Med Phys; 2023 Sep; 50(9):5568-5584. PubMed ID: 36934310
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Noise-resolution tradeoffs in x-ray CT imaging: a comparison of penalized alternating minimization and filtered backprojection algorithms.
    Evans JD; Politte DG; Whiting BR; O'Sullivan JA; Williamson JF
    Med Phys; 2011 Mar; 38(3):1444-58. PubMed ID: 21520856
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Median prior constrained TV algorithm for sparse view low-dose CT reconstruction.
    Liu Y; Shangguan H; Zhang Q; Zhu H; Shu H; Gui Z
    Comput Biol Med; 2015 May; 60():117-31. PubMed ID: 25817533
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Low dose CT reconstruction via L1 norm dictionary learning using alternating minimization algorithm and balancing principle.
    Wu J; Dai F; Hu G; Mou X
    J Xray Sci Technol; 2018; 26(4):603-622. PubMed ID: 29689766
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Stationary computed tomography with source and detector in linear symmetric geometry: Direct filtered backprojection reconstruction.
    Zhang T; Xing Y; Zhang L; Jin X; Gao H; Chen Z
    Med Phys; 2020 Jun; 47(5):2222-2236. PubMed ID: 32009236
    [TBL] [Abstract][Full Text] [Related]  

  • 12. LRR-CED: low-resolution reconstruction-aware convolutional encoder-decoder network for direct sparse-view CT image reconstruction.
    Kandarpa VSS; Perelli A; Bousse A; Visvikis D
    Phys Med Biol; 2022 Jul; 67(15):. PubMed ID: 35738249
    [No Abstract]   [Full Text] [Related]  

  • 13. Dual energy CT with one full scan and a second sparse-view scan using structure preserving iterative reconstruction (SPIR).
    Wang T; Zhu L
    Phys Med Biol; 2016 Sep; 61(18):6684-6706. PubMed ID: 27552793
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A separable quadratic surrogate total variation minimization algorithm for accelerating accurate CT reconstruction from few-views and limited-angle data.
    Hou X; Teng Y; Kang Y; Qi S
    Med Phys; 2018 Feb; 45(2):535-548. PubMed ID: 29171030
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Low-dose CT reconstruction method based on prior information of normal-dose image.
    Chen Z; Zhang Q; Zhou C; Zhang M; Yang Y; Liu X; Zheng H; Liang D; Hu Z
    J Xray Sci Technol; 2020; 28(6):1091-1111. PubMed ID: 33044223
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Low-dose CT reconstruction via edge-preserving total variation regularization.
    Tian Z; Jia X; Yuan K; Pan T; Jiang SB
    Phys Med Biol; 2011 Sep; 56(18):5949-67. PubMed ID: 21860076
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A new adaptive-weighted total variation sparse-view computed tomography image reconstruction with local improved gradient information.
    Wang Y; Qi Z
    J Xray Sci Technol; 2018; 26(6):957-975. PubMed ID: 30149492
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sparsity-induced dynamic guided filtering approach for sparse-view data toward low-dose x-ray computed tomography.
    Yu W; Wang C; Nie X; Zeng D
    Phys Med Biol; 2018 Nov; 63(23):235016. PubMed ID: 30484434
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Model-based iterative reconstruction compared to adaptive statistical iterative reconstruction and filtered back-projection in CT of the kidneys and the adjacent retroperitoneum.
    Olcott EW; Shin LK; Sommer G; Chan I; Rosenberg J; Molvin FL; Boas FE; Fleischmann D
    Acad Radiol; 2014 Jun; 21(6):774-84. PubMed ID: 24809318
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction.
    Liu Y; Ma J; Fan Y; Liang Z
    Phys Med Biol; 2012 Dec; 57(23):7923-56. PubMed ID: 23154621
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.