BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 37582378)

  • 1. A new projection correction based voting strategy for breast calcification artifact reduction.
    Tang H; Wang J; Sun L; Wang S; Xiang J; Xi Y; Chen Y; Jiang Y
    Phys Med Biol; 2023 Sep; 68(18):. PubMed ID: 37582378
    [No Abstract]   [Full Text] [Related]  

  • 2. Voting strategy for artifact reduction in digital breast tomosynthesis.
    Wu T; Moore RH; Kopans DB
    Med Phys; 2006 Jul; 33(7):2461-71. PubMed ID: 16898449
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel pre-processing technique for improving image quality in digital breast tomosynthesis.
    Kim H; Lee T; Hong J; Sabir S; Lee JR; Choi YW; Kim HH; Chae EY; Cho S
    Med Phys; 2017 Feb; 44(2):417-425. PubMed ID: 28032909
    [TBL] [Abstract][Full Text] [Related]  

  • 4. High-attenuation artifact reduction in breast tomosynthesis using a novel reconstruction algorithm.
    Dustler M; Wicklein J; Förnvik H; Boita J; Bakic P; Lång K
    Eur J Radiol; 2019 Jul; 116():21-26. PubMed ID: 31153567
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improving image quality for digital breast tomosynthesis: an automated detection and diffusion-based method for metal artifact reduction.
    Lu Y; Chan HP; Wei J; Hadjiiski LM; Samala RK
    Phys Med Biol; 2017 Sep; 62(19):7765-7783. PubMed ID: 28832336
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Backprojection Filtration Image Reconstruction Approach for Reducing High-Density Object Artifacts in Digital Breast Tomosynthesis.
    Kim H; Lee J; Soh J; Min J; Wook Choi Y; Cho S
    IEEE Trans Med Imaging; 2019 May; 38(5):1161-1171. PubMed ID: 30418899
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Digital breast tomosynthesis: Image acquisition principles and artifacts.
    Sujlana PS; Mahesh M; Vedantham S; Harvey SC; Mullen LA; Woods RW
    Clin Imaging; 2019; 55():188-195. PubMed ID: 30236642
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep-learning-based projection-domain breast thickness estimation for shape-prior iterative image reconstruction in digital breast tomosynthesis.
    Lee S; Kim H; Lee H; Cho S
    Med Phys; 2022 Jun; 49(6):3670-3682. PubMed ID: 35297075
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Segmented separable footprint projector for digital breast tomosynthesis and its application for subpixel reconstruction.
    Zheng J; Fessler JA; Chan HP
    Med Phys; 2017 Mar; 44(3):986-1001. PubMed ID: 28058719
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Image quality of microcalcifications in digital breast tomosynthesis: effects of projection-view distributions.
    Lu Y; Chan HP; Wei J; Goodsitt M; Carson PL; Hadjiiski L; Schmitz A; Eberhard JW; Claus BE
    Med Phys; 2011 Oct; 38(10):5703-12. PubMed ID: 21992385
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of a new image reconstruction method for digital breast tomosynthesis: effects on the visibility of breast lesions and breast density.
    Krammer J; Zolotarev S; Hillman I; Karalis K; Stsepankou D; Vengrinovich V; Hesser J; M Svahn T
    Br J Radiol; 2019 Nov; 92(1103):20190345. PubMed ID: 31453718
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artifact reduction methods for truncated projections in iterative breast tomosynthesis reconstruction.
    Zhang Y; Chan HP; Sahiner B; Wei J; Zhou C; Hadjiiski LM
    J Comput Assist Tomogr; 2009; 33(3):426-35. PubMed ID: 19478639
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A synthesizing method for signal-enhanced and artifact-reduced mammogram from digital breast tomosynthesis.
    Kim H; Hong J; Lee T; Choi YW; Kim HH; Chae EY; Choi WJ; Cho S
    Phys Med Biol; 2020 Nov; 65(21):215026. PubMed ID: 33151909
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Characterization of a constrained paired-view technique in iterative reconstruction for breast tomosynthesis.
    Wu G; Mainprize JG; Yaffe MJ
    Med Phys; 2013 Oct; 40(10):101901. PubMed ID: 24089903
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A new dental CBCT metal artifact reduction method based on a dual-domain processing framework.
    Tang H; Lin YB; Jiang SD; Li Y; Li T; Bao XD
    Phys Med Biol; 2023 Aug; 68(17):. PubMed ID: 37524084
    [No Abstract]   [Full Text] [Related]  

  • 16. Improved digital breast tomosynthesis images using automated ultrasound.
    Zhang X; Yuan J; Du S; Kripfgans OD; Wang X; Carson PL; Liu X
    Med Phys; 2014 Jun; 41(6):061911. PubMed ID: 24877822
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis.
    Barufaldi B; Acciavatti RJ; Conant EF; Maidment ADA
    Eur Radiol; 2024 Jan; 34(1):193-203. PubMed ID: 37572187
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A new approach for reducing beam hardening artifacts in polychromatic X-ray computed tomography using more accurate prior image.
    Wang H; Xu Y; Shi H
    J Xray Sci Technol; 2018; 26(4):593-602. PubMed ID: 29562575
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A diffusion-based truncated projection artifact reduction method for iterative digital breast tomosynthesis reconstruction.
    Lu Y; Chan HP; Wei J; Hadjiiski LM
    Phys Med Biol; 2013 Feb; 58(3):569-87. PubMed ID: 23318346
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A metal artifact reduction method for a dental CT based on adaptive local thresholding and prior image generation.
    Hegazy MA; Cho MH; Lee SY
    Biomed Eng Online; 2016 Nov; 15(1):119. PubMed ID: 27814775
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.