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 *

112 related articles for article (PubMed ID: 24320524)

  • 21. A moving blocker system for cone-beam computed tomography scatter correction.
    Ouyang L; Song K; Wang J
    Med Phys; 2013 Jul; 40(7):071903. PubMed ID: 23822440
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Spatial frequency spectrum of the x-ray scatter distribution in CBCT projections.
    Bootsma GJ; Verhaegen F; Jaffray DA
    Med Phys; 2013 Nov; 40(11):111901. PubMed ID: 24320434
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Interleaved acquisition for cross scatter avoidance in dual cone-beam CT.
    Giles W; Bowsher J; Li H; Yin FF
    Med Phys; 2012 Dec; 39(12):7719-28. PubMed ID: 23231319
    [TBL] [Abstract][Full Text] [Related]  

  • 24. The effects of compensator and imaging geometry on the distribution of x-ray scatter in CBCT.
    Bootsma GJ; Verhaegen F; Jaffray DA
    Med Phys; 2011 Feb; 38(2):897-914. PubMed ID: 21452727
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Efficient scatter distribution estimation and correction in CBCT using concurrent Monte Carlo fitting.
    Bootsma GJ; Verhaegen F; Jaffray DA
    Med Phys; 2015 Jan; 42(1):54-68. PubMed ID: 25563247
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone-beam CT.
    Wang J; Gu X
    Med Phys; 2013 Oct; 40(10):101912. PubMed ID: 24089914
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Scatter kernel estimation with an edge-spread function method for cone-beam computed tomography imaging.
    Li H; Mohan R; Zhu XR
    Phys Med Biol; 2008 Dec; 53(23):6729-48. PubMed ID: 18997269
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Dose and image quality evaluation of a dedicated cone-beam CT system for high-contrast neurologic applications.
    Yu L; Vrieze TJ; Bruesewitz MR; Kofler JM; DeLone DR; Pallanch JF; Lindell EP; McCollough CH
    AJR Am J Roentgenol; 2010 Feb; 194(2):W193-201. PubMed ID: 20093573
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Cone beam CT multisource configurations: evaluating image quality, scatter, and dose using phantom imaging and Monte Carlo simulations.
    Becker AE; Hernandez AM; Schwoebel PR; Boone JM
    Phys Med Biol; 2020 Dec; 65(23):235032. PubMed ID: 33080583
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Evaluation of image quality for different kV cone-beam CT acquisition and reconstruction methods in the head and neck region.
    Elstrøm UV; Muren LP; Petersen JB; Grau C
    Acta Oncol; 2011 Aug; 50(6):908-17. PubMed ID: 21767191
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Evaluation of a cone beam computed tomography geometry for image guided small animal irradiation.
    Yang Y; Armour M; Wang KK; Gandhi N; Iordachita I; Siewerdsen J; Wong J
    Phys Med Biol; 2015 Jul; 60(13):5163-77. PubMed ID: 26083659
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Optimizing cone beam CT scatter estimation in egs_cbct for a clinical and virtual chest phantom.
    Thing RS; Mainegra-Hing E
    Med Phys; 2014 Jul; 41(7):071902. PubMed ID: 24989380
    [TBL] [Abstract][Full Text] [Related]  

  • 33. GPU-based iterative cone-beam CT reconstruction using tight frame regularization.
    Jia X; Dong B; Lou Y; Jiang SB
    Phys Med Biol; 2011 Jul; 56(13):3787-807. PubMed ID: 21628778
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Robust primary modulation-based scatter estimation for cone-beam CT.
    Ritschl L; Fahrig R; Knaup M; Maier J; Kachelrieß M
    Med Phys; 2015 Jan; 42(1):469-78. PubMed ID: 25563286
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Calibration of megavoltage cone-beam CT for radiotherapy dose calculations: correction of cupping artifacts and conversion of CT numbers to electron density.
    Petit SF; van Elmpt WJ; Nijsten SM; Lambin P; Dekker AL
    Med Phys; 2008 Mar; 35(3):849-65. PubMed ID: 18404922
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A patient set-up protocol based on partially blocked cone-beam CT.
    Zhu L; Wang J; Xie Y; Starman J; Fahrig R; Xing L
    Technol Cancer Res Treat; 2010 Apr; 9(2):191-8. PubMed ID: 20218741
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Dose and image quality of cone-beam computed tomography as compared with conventional multislice computed tomography in abdominal imaging.
    Schegerer AA; Lechel U; Ritter M; Weisser G; Fink C; Brix G
    Invest Radiol; 2014 Oct; 49(10):675-84. PubMed ID: 24853071
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Monte Carlo simulation and patient dosimetry for a kilovoltage cone-beam CT unit.
    Downes P; Jarvis R; Radu E; Kawrakow I; Spezi E
    Med Phys; 2009 Sep; 36(9):4156-67. PubMed ID: 19810489
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Separable scatter model of the detector and object contributions using continuously thickness-adapted kernels in CBCT.
    Bhatia N; Tisseur D; Valton S; Létang JM
    J Xray Sci Technol; 2016 Oct; 24(5):723-732. PubMed ID: 27716681
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Evaluating iterative algebraic algorithms in terms of convergence and image quality for cone beam CT.
    Qiu W; Pengpan T; Smith ND; Soleimani M
    Comput Methods Programs Biomed; 2013 Mar; 109(3):313-22. PubMed ID: 23164522
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.