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Journal Abstract Search


92 related items for PubMed ID: 17896370

  • 1. Improved dynamic susceptibility contrast (DSC)-MR perfusion estimates by motion correction.
    Kosior RK, Kosior JC, Frayne R.
    J Magn Reson Imaging; 2007 Oct; 26(4):1167-72. PubMed ID: 17896370
    [Abstract] [Full Text] [Related]

  • 2. Robust dynamic susceptibility contrast MR perfusion using 4D nonlinear noise filters.
    Kosior JC, Kosior RK, Frayne R.
    J Magn Reson Imaging; 2007 Dec; 26(6):1514-22. PubMed ID: 17968968
    [Abstract] [Full Text] [Related]

  • 3. Deconvolution with simple extrapolation for improved cerebral blood flow measurement in dynamic susceptibility contrast magnetic resonance imaging during acute ischemic stroke.
    MacDonald ME, Smith MR, Frayne R.
    Magn Reson Imaging; 2011 Jun; 29(5):620-9. PubMed ID: 21546188
    [Abstract] [Full Text] [Related]

  • 4. Absolute quantification of cerebral blood flow in normal volunteers: correlation between Xe-133 SPECT and dynamic susceptibility contrast MRI.
    Knutsson L, Börjesson S, Larsson EM, Risberg J, Gustafson L, Passant U, Ståhlberg F, Wirestam R.
    J Magn Reson Imaging; 2007 Oct; 26(4):913-20. PubMed ID: 17896379
    [Abstract] [Full Text] [Related]

  • 5. Tracer delay correction of cerebral blood flow with dynamic susceptibility contrast-enhanced MRI.
    Ibaraki M, Shimosegawa E, Toyoshima H, Takahashi K, Miura S, Kanno I.
    J Cereb Blood Flow Metab; 2005 Mar; 25(3):378-90. PubMed ID: 15674238
    [Abstract] [Full Text] [Related]

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  • 7. Perfusion-related parameters in intravoxel incoherent motion MR imaging compared with CBV and CBF measured by dynamic susceptibility-contrast MR technique.
    Wirestam R, Borg M, Brockstedt S, Lindgren A, Holtås S, Ståhlberg F.
    Acta Radiol; 2001 Mar; 42(2):123-8. PubMed ID: 11281143
    [Abstract] [Full Text] [Related]

  • 8. Is correction necessary when clinically determining quantitative cerebral perfusion parameters from multi-slice dynamic susceptibility contrast MR studies?
    Salluzzi M, Frayne R, Smith MR.
    Phys Med Biol; 2006 Jan 21; 51(2):407-24. PubMed ID: 16394347
    [Abstract] [Full Text] [Related]

  • 9. Cerebral blood flow estimation in vivo using local tissue reference functions.
    Kosior JC, Smith MR, Kosior RK, Frayne R.
    J Magn Reson Imaging; 2009 Jan 21; 29(1):183-8. PubMed ID: 19097104
    [Abstract] [Full Text] [Related]

  • 10. Method for improving the accuracy of quantitative cerebral perfusion imaging.
    Sakaie KE, Shin W, Curtin KR, McCarthy RM, Cashen TA, Carroll TJ.
    J Magn Reson Imaging; 2005 May 21; 21(5):512-9. PubMed ID: 15834910
    [Abstract] [Full Text] [Related]

  • 11. [A capillary-based perfusion phantom for the simulation of brain perfusion for MRI].
    Maciak A, Kronfeld A, Müller-Forell W, Wille C, Kempski O, Stoeter P.
    Rofo; 2010 Oct 21; 182(10):883-90. PubMed ID: 20563961
    [Abstract] [Full Text] [Related]

  • 12. Comparison of perfusion MRI by flow-sensitive alternating inversion recovery and dynamic susceptibility contrast in rats with permanent middle cerebral artery occlusion.
    Hofmeijer J, Schepers J, van der Worp HB, Kappelle LJ, Nicolay K.
    NMR Biomed; 2005 Oct 21; 18(6):390-4. PubMed ID: 16075409
    [Abstract] [Full Text] [Related]

  • 13. Effect of using local arterial input functions on cerebral blood flow estimation.
    Lorenz C, Benner T, Lopez CJ, Ay H, Zhu MW, Aronen H, Karonen J, Liu Y, Nuutinen J, Sorensen AG.
    J Magn Reson Imaging; 2006 Jul 21; 24(1):57-65. PubMed ID: 16767708
    [Abstract] [Full Text] [Related]

  • 14. Comparison of region-of-interest analysis with three different histogram analysis methods in the determination of perfusion metrics in patients with brain gliomas.
    Young R, Babb J, Law M, Pollack E, Johnson G.
    J Magn Reson Imaging; 2007 Oct 21; 26(4):1053-63. PubMed ID: 17896374
    [Abstract] [Full Text] [Related]

  • 15. Assessment of clinical data of nonlinear stochastic deconvolution versus block-circulant singular value decomposition for quantitative dynamic susceptibility contrast magnetic resonance imaging.
    Peruzzo D, Zanderigo F, Bertoldo A, Pillonetto G, Cosottini M, Cobelli C.
    Magn Reson Imaging; 2011 Sep 21; 29(7):927-36. PubMed ID: 21616625
    [Abstract] [Full Text] [Related]

  • 16. Prospective registration of human head magnetic resonance images for reproducible slice positioning using localizer images.
    Gedat E, Braun J, Sack I, Bernarding J.
    J Magn Reson Imaging; 2004 Oct 21; 20(4):581-7. PubMed ID: 15390147
    [Abstract] [Full Text] [Related]

  • 17. The impact of partial-volume effects in dynamic susceptibility contrast magnetic resonance perfusion imaging.
    Chen JJ, Smith MR, Frayne R.
    J Magn Reson Imaging; 2005 Sep 21; 22(3):390-9. PubMed ID: 16104009
    [Abstract] [Full Text] [Related]

  • 18. Improvement in the quantification of myocardial perfusion using an automatic spline-based registration algorithm.
    Dornier C, Ivancevic MK, Thévenaz P, Vallée JP.
    J Magn Reson Imaging; 2003 Aug 21; 18(2):160-8. PubMed ID: 12884327
    [Abstract] [Full Text] [Related]

  • 19. TSE with average-specific phase encoding ordering for motion detection and artifact suppression.
    Zhang L, Kholmovski EG, Guo J, Parker DL.
    J Magn Reson Imaging; 2007 Jun 21; 25(6):1271-82. PubMed ID: 17520734
    [Abstract] [Full Text] [Related]

  • 20. Correcting saturation effects of the arterial input function in dynamic susceptibility contrast-enhanced MRI: a Monte Carlo simulation.
    Brunecker P, Villringer A, Schultze J, Nolte CH, Jungehülsing GJ, Endres M, Steinbrink J.
    Magn Reson Imaging; 2007 Nov 21; 25(9):1300-11. PubMed ID: 17462846
    [Abstract] [Full Text] [Related]


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