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188 related items for PubMed ID: 16971140

  • 1. Bayesian estimation of cerebral perfusion using a physiological model of microvasculature.
    Mouridsen K, Friston K, Hjort N, Gyldensted L, Østergaard L, Kiebel S.
    Neuroimage; 2006 Nov 01; 33(2):570-9. PubMed ID: 16971140
    [Abstract] [Full Text] [Related]

  • 2. 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 01; 25(3):378-90. PubMed ID: 15674238
    [Abstract] [Full Text] [Related]

  • 3. Bayesian hemodynamic parameter estimation by bolus tracking perfusion weighted imaging.
    Boutelier T, Kudo K, Pautot F, Sasaki M.
    IEEE Trans Med Imaging; 2012 Jul 01; 31(7):1381-95. PubMed ID: 22410325
    [Abstract] [Full Text] [Related]

  • 4. Principles of cerebral perfusion imaging by bolus tracking.
    Østergaard L.
    J Magn Reson Imaging; 2005 Dec 01; 22(6):710-7. PubMed ID: 16261573
    [Abstract] [Full Text] [Related]

  • 5. [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 01; 182(10):883-90. PubMed ID: 20563961
    [Abstract] [Full Text] [Related]

  • 6. 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 01; 29(1):183-8. PubMed ID: 19097104
    [Abstract] [Full Text] [Related]

  • 7. Aspects on the accuracy of cerebral perfusion parameters obtained by dynamic susceptibility contrast MRI: a simulation study.
    Knutsson L, Ståhlberg F, Wirestam R.
    Magn Reson Imaging; 2004 Jul 01; 22(6):789-98. PubMed ID: 15234447
    [Abstract] [Full Text] [Related]

  • 8. A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI.
    Mehndiratta A, MacIntosh BJ, Crane DE, Payne SJ, Chappell MA.
    Neuroimage; 2013 Jan 01; 64():560-70. PubMed ID: 22975158
    [Abstract] [Full Text] [Related]

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  • 10. Automated perfusion-weighted MRI using localized arterial input functions.
    Lorenz C, Benner T, Chen PJ, Lopez CJ, Ay H, Zhu MW, Menezes NM, Aronen H, Karonen J, Liu Y, Nuutinen J, Sorensen AG.
    J Magn Reson Imaging; 2006 Nov 01; 24(5):1133-9. PubMed ID: 16969793
    [Abstract] [Full Text] [Related]

  • 11. Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference.
    Marrelec G, Ciuciu P, Pélégrini-Issac M, Benali H.
    IEEE Trans Med Imaging; 2004 Aug 01; 23(8):959-67. PubMed ID: 15338730
    [Abstract] [Full Text] [Related]

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  • 13. 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 01; 22(3):390-9. PubMed ID: 16104009
    [Abstract] [Full Text] [Related]

  • 14. 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
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  • 16. Bayesian estimation of dynamical systems: an application to fMRI.
    Friston KJ.
    Neuroimage; 2002 Jun 21; 16(2):513-30. PubMed ID: 12030834
    [Abstract] [Full Text] [Related]

  • 17. Cerebral blood flow estimation from perfusion-weighted MRI using FT-based MMSE filtering method.
    Sakoglu U, Sood R.
    Magn Reson Imaging; 2008 Apr 21; 26(3):313-22. PubMed ID: 18158225
    [Abstract] [Full Text] [Related]

  • 18. Correcting the effects of background microcirculation in the measurement of arterial input functions using dynamic susceptibility contrast MRI of the brain.
    Thornton RJ, Jones JY, Wang ZJ.
    Magn Reson Imaging; 2006 Jun 21; 24(5):619-23. PubMed ID: 16735184
    [Abstract] [Full Text] [Related]

  • 19. Minimising the effects of bolus dispersion in bolus-tracking MRI.
    Willats L, Connelly A, Calamante F.
    NMR Biomed; 2008 Nov 21; 21(10):1126-37. PubMed ID: 18727165
    [Abstract] [Full Text] [Related]

  • 20. A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI.
    Makni S, Idier J, Vincent T, Thirion B, Dehaene-Lambertz G, Ciuciu P.
    Neuroimage; 2008 Jul 01; 41(3):941-69. PubMed ID: 18439839
    [Abstract] [Full Text] [Related]

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