Literature DB >> 19253361

Absolute quantification of cerebral blood flow in neurologically normal volunteers: dynamic-susceptibility contrast MRI-perfusion compared with computed tomography (CT)-perfusion.

Doerthe Ziegelitz1, Göran Starck, Irene K Mikkelsen, Mats Tullberg, Mikael Edsbagge, Carsten Wikkelsö, Eva Forssell-Aronson, Stig Holtås, Linda Knutsson.   

Abstract

To improve the reproducibility of arterial input function (AIF) registration and absolute cerebral blood flow (CBF) quantification in dynamic-susceptibility MRI-perfusion (MRP) at 1.5T, we rescaled the AIF by use of a venous output function (VOF). We compared CBF estimates of 20 healthy, elderly volunteers, obtained by computed tomography (CT)-perfusion (CTP) and MRP on two consecutive days. MRP, calculated without the AIF correction, did not result in any significant correlation with CTP. The rescaled MRP showed fair to moderate correlation with CTP for the central gray matter (GM) and the whole brain. Our results indicate that the method used for correction of partial volume effects (PVEs) improves MRP experiments by reducing AIF-introduced variance at 1.5T. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19253361     DOI: 10.1002/mrm.21975

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  11 in total

1.  Role of CT perfusion imaging in the diagnosis and treatment of vasospasm.

Authors:  Edward D Greenberg; Y Pierre Gobin; Howard Riina; Carl E Johnson; Apostolos J Tsiouris; Joseph Comunale; Pina C Sanelli
Journal:  Imaging Med       Date:  2011-06-01

2.  Cerebral blood flow measurement in neurosurgery.

Authors:  David Mette; Rhonda Strunk; Mario Zuccarello
Journal:  Transl Stroke Res       Date:  2011-02-12       Impact factor: 6.829

3.  A fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRI.

Authors:  Atle Bjørnerud; Kyrre E Emblem
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

Review 4.  Absolute quantification of perfusion using dynamic susceptibility contrast MRI: pitfalls and possibilities.

Authors:  Linda Knutsson; Freddy Ståhlberg; Ronnie Wirestam
Journal:  MAGMA       Date:  2009-12-04       Impact factor: 2.310

5.  On the normalization of cerebral blood flow.

Authors:  Romain Guibert; Caroline Fonta; François Estève; Franck Plouraboué
Journal:  J Cereb Blood Flow Metab       Date:  2013-03-13       Impact factor: 6.200

6.  Cerebral small-resistance artery structure and cerebral blood flow in normotensive subjects and hypertensive patients.

Authors:  Carolina De Ciuceis; Claudio Cornali; Enzo Porteri; Dikran Mardighian; Chiara Pinardi; Marco M Fontanella; Luigi F Rodella; Rita Rezzani; Damiano Rizzoni; Gianluca E M Boari; Enrico Agabiti Rosei; Roberto Gasparotti
Journal:  Neuroradiology       Date:  2014-09-10       Impact factor: 2.804

7.  The effects of propofol on cerebral perfusion MRI in children.

Authors:  Julie H Harreld; Kathleen J Helton; Roland N Kaddoum; Wilburn E Reddick; Yimei Li; John O Glass; Rakhee Sansgiri; Qing Ji; Tianshu Feng; Mary Edna Parish; Amar Gajjar; Zoltan Patay
Journal:  Neuroradiology       Date:  2013-05-15       Impact factor: 2.804

8.  Brain perfusion CT compared with15O-H2O-PET in healthy subjects.

Authors:  Julie Marie Grüner; Rune Paamand; Liselotte Højgaard; Ian Law
Journal:  EJNMMI Res       Date:  2011-11-18       Impact factor: 3.138

9.  Cerebral circulation time is prolonged and not correlated with EDSS in multiple sclerosis patients: a study using digital subtracted angiography.

Authors:  Lucia Monti; Donatella Donati; Elisabetta Menci; Samuele Cioni; Matteo Bellini; Irene Grazzini; Sara Leonini; Paolo Galluzzi; Sandra Bracco; Sauro Severi; Luca Burroni; Alfredo Casasco; Lucia Morbidelli; Emiliano Santarnecchi; Pietro Piu
Journal:  PLoS One       Date:  2015-02-13       Impact factor: 3.240

10.  Improvements in the quantitative assessment of cerebral blood volume and flow with the removal of vessel voxels from MR perfusion images.

Authors:  Michael Mu Huo Teng; I-Chieh Cho; Yi-Hsuan Kao; Chi-Shuo Chuang; Fang-Ying Chiu; Feng-Chi Chang
Journal:  Biomed Res Int       Date:  2013-03-18       Impact factor: 3.411

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