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PUBMED FOR HANDHELDS

Journal Abstract Search


376 related items for PubMed ID: 18816810

  • 1. Comprehensive quantification of signal-to-noise ratio and g-factor for image-based and k-space-based parallel imaging reconstructions.
    Robson PM, Grant AK, Madhuranthakam AJ, Lattanzi R, Sodickson DK, McKenzie CA.
    Magn Reson Med; 2008 Oct; 60(4):895-907. PubMed ID: 18816810
    [Abstract] [Full Text] [Related]

  • 2. Computationally rapid method of estimating signal-to-noise ratio for phased array image reconstructions.
    Wiens CN, Kisch SJ, Willig-Onwuachi JD, McKenzie CA.
    Magn Reson Med; 2011 Oct; 66(4):1192-7. PubMed ID: 21465545
    [Abstract] [Full Text] [Related]

  • 3. Noise estimation in parallel MRI: GRAPPA and SENSE.
    Aja-Fernández S, Vegas-Sánchez-Ferrero G, Tristán-Vega A.
    Magn Reson Imaging; 2014 Apr; 32(3):281-90. PubMed ID: 24418329
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  • 4. General formulation for quantitative G-factor calculation in GRAPPA reconstructions.
    Breuer FA, Kannengiesser SA, Blaimer M, Seiberlich N, Jakob PM, Griswold MA.
    Magn Reson Med; 2009 Sep; 62(3):739-46. PubMed ID: 19585608
    [Abstract] [Full Text] [Related]

  • 5. Cross-validation-based kernel support selection for improved GRAPPA reconstruction.
    Nana R, Zhao T, Heberlein K, LaConte SM, Hu X.
    Magn Reson Med; 2008 Apr; 59(4):819-25. PubMed ID: 18383295
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  • 6. Highly accelerated T1-weighted abdominal imaging using 2-dimensional controlled aliasing in parallel imaging results in higher acceleration: a comparison with generalized autocalibrating partially parallel acquisitions parallel imaging.
    Riffel P, Attenberger UI, Kannengiesser S, Nickel MD, Arndt C, Meyer M, Schoenberg SO, Michaely HJ.
    Invest Radiol; 2013 Jul; 48(7):554-61. PubMed ID: 23462674
    [Abstract] [Full Text] [Related]

  • 7. k-t GRAPPA: a k-space implementation for dynamic MRI with high reduction factor.
    Huang F, Akao J, Vijayakumar S, Duensing GR, Limkeman M.
    Magn Reson Med; 2005 Nov; 54(5):1172-84. PubMed ID: 16193468
    [Abstract] [Full Text] [Related]

  • 8. Ghost artifact removal using a parallel imaging approach.
    Winkelmann R, Börnert P, Dössel O.
    Magn Reson Med; 2005 Oct; 54(4):1002-9. PubMed ID: 16155885
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  • 10. Iterative GRAPPA (iGRAPPA) for improved parallel imaging reconstruction.
    Zhao T, Hu X.
    Magn Reson Med; 2008 Apr; 59(4):903-7. PubMed ID: 18383282
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  • 13. A statistical approach to SENSE regularization with arbitrary k-space trajectories.
    Ying L, Liu B, Steckner MC, Wu G, Wu M, Li SJ.
    Magn Reson Med; 2008 Aug; 60(2):414-21. PubMed ID: 18666100
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  • 14. k-space inherited parallel acquisition (KIPA): application on dynamic magnetic resonance imaging thermometry.
    Guo JY, Kholmovski EG, Zhang L, Jeong EK, Parker DL.
    Magn Reson Imaging; 2006 Sep; 24(7):903-15. PubMed ID: 16916708
    [Abstract] [Full Text] [Related]

  • 15. A method to assess spatially variant noise in dynamic MR image series.
    Ding Y, Chung YC, Simonetti OP.
    Magn Reson Med; 2010 Mar; 63(3):782-9. PubMed ID: 20187185
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  • 16. Denoising sparse images from GRAPPA using the nullspace method.
    Weller DS, Polimeni JR, Grady L, Wald LL, Adalsteinsson E, Goyal VK.
    Magn Reson Med; 2012 Oct; 68(4):1176-89. PubMed ID: 22213069
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  • 18. SEMAC-VAT and MSVAT-SPACE sequence strategies for metal artifact reduction in 1.5T magnetic resonance imaging.
    Ai T, Padua A, Goerner F, Nittka M, Gugala Z, Jadhav S, Trelles M, Johnson RF, Lindsey RW, Li X, Runge VM.
    Invest Radiol; 2012 May; 47(5):267-76. PubMed ID: 22266987
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