BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

269 related articles for article (PubMed ID: 21213568)

  • 1. Effect of adaptive threshold filtering on ultrasonic nakagami parameter to detect variation in scatterer concentration.
    Tsui PH; Wan YL; Huang CC; Wang MC
    Ultrason Imaging; 2010 Oct; 32(4):229-42. PubMed ID: 21213568
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Use of nakagami statistics and empirical mode decomposition for ultrasound tissue characterization by a nonfocused transducer.
    Tsui PH; Chang CC; Ho MC; Lee YH; Chen YS; Chang CC; Huang NE; Wu ZH; Chang KJ
    Ultrasound Med Biol; 2009 Dec; 35(12):2055-68. PubMed ID: 19828227
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The effect of transducer characteristics on the estimation of Nakagami paramater as a function of scatterer concentration.
    Tsui PH; Wang SH
    Ultrasound Med Biol; 2004 Oct; 30(10):1345-53. PubMed ID: 15582234
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artifact reduction of ultrasound Nakagami imaging by combining multifocus image reconstruction and the noise-assisted correlation algorithm.
    Tsui PH; Tsai YW
    Ultrason Imaging; 2015 Jan; 37(1):53-69. PubMed ID: 24626567
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Imaging local scatterer concentrations by the Nakagami statistical model.
    Tsui PH; Chang CC
    Ultrasound Med Biol; 2007 Apr; 33(4):608-19. PubMed ID: 17343979
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Performance evaluation of ultrasonic Nakagami image in tissue characterization.
    Tsui PH; Yeh CK; Chang CC; Chen WS
    Ultrason Imaging; 2008 Apr; 30(2):78-94. PubMed ID: 18939610
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Window-modulated compounding Nakagami imaging for ultrasound tissue characterization.
    Tsui PH; Ma HY; Zhou Z; Ho MC; Lee YH
    Ultrasonics; 2014 Aug; 54(6):1448-59. PubMed ID: 24835004
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Ultrasonic Nakagami imaging: a strategy to visualize the scatterer properties of benign and malignant breast tumors.
    Tsui PH; Yeh CK; Liao YY; Chang CC; Kuo WH; Chang KJ; Chen CN
    Ultrasound Med Biol; 2010 Feb; 36(2):209-17. PubMed ID: 20018436
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Linear and nonlinear characterization of microbubbles and tissue using the Nakagami statistical model.
    Bahbah N; Novell A; Bouakaz A; Djelouah H
    Ultrasonics; 2017 Apr; 76():200-207. PubMed ID: 28119148
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Nakagami imaging for detecting thermal lesions induced by high-intensity focused ultrasound in tissue.
    Rangraz P; Behnam H; Tavakkoli J
    Proc Inst Mech Eng H; 2014 Jan; 228(1):19-26. PubMed ID: 24264647
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The effect of logarithmic compression on estimation of the Nakagami parameter for ultrasonic tissue characterization: a simulation study.
    Tsui PH; Wang SH; Huang CC
    Phys Med Biol; 2005 Jul; 50(14):3235-44. PubMed ID: 16177506
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Enhanced lesion-to-bubble ratio on ultrasonic Nakagami imaging for monitoring of high-intensity focused ultrasound.
    Zhang S; Li C; Zhou F; Wan M; Wang S
    J Ultrasound Med; 2014 Jun; 33(6):959-70. PubMed ID: 24866603
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Effect of ultrasound frequency on the Nakagami statistics of human liver tissues.
    Tsui PH; Zhou Z; Lin YH; Hung CM; Chung SJ; Wan YL
    PLoS One; 2017; 12(8):e0181789. PubMed ID: 28763461
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Effects of Estimators on Ultrasound Nakagami Imaging in Visualizing the Change in the Backscattered Statistics from a Rayleigh Distribution to a Pre-Rayleigh Distribution.
    Tsui PH; Wan YL; Tai DI; Shu YC
    Ultrasound Med Biol; 2015 Aug; 41(8):2240-51. PubMed ID: 25959057
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Noise-assisted correlation algorithm for suppressing noise-induced artifacts in ultrasonic Nakagami images.
    Tsui PH; Yeh CK; Huang CC
    IEEE Trans Inf Technol Biomed; 2012 May; 16(3):314-22. PubMed ID: 22155965
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Beamforming effects on generalized Nakagami imaging.
    Yu X; Guo Y; Huang SM; Li ML; Lee WN
    Phys Med Biol; 2015 Oct; 60(19):7513-31. PubMed ID: 26371543
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Three-dimensional ultrasonic Nakagami imaging for tissue characterization.
    Tsui PH; Hsu CW; Ho MC; Chen YS; Lin JJ; Chang CC; Chu CC
    Phys Med Biol; 2010 Oct; 55(19):5849-66. PubMed ID: 20844338
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Trade-offs in data acquisition and processing parameters for backscatter and scatterer size estimations.
    Liu W; Zagzebski JA
    IEEE Trans Ultrason Ferroelectr Freq Control; 2010; 57(2):340-52. PubMed ID: 20178900
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detecting changes in ultrasound backscattered statistics by using Nakagami parameters: Comparisons of moment-based and maximum likelihood estimators.
    Lin JJ; Cheng JY; Huang LF; Lin YH; Wan YL; Tsui PH
    Ultrasonics; 2017 May; 77():133-143. PubMed ID: 28231487
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quantification of number density of random microstructure from a photoacoustic signal by using Nakagami statistics.
    Gao X; Dai N; Tao C; Liu X
    Opt Lett; 2019 Jun; 44(12):2951-2954. PubMed ID: 31199353
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.