Literature DB >> 16767708

Effect of using local arterial input functions on cerebral blood flow estimation.

Cory Lorenz1, Thomas Benner, Chloe Joan Lopez, Hakan Ay, Ming Wang Zhu, Hannu Aronen, Jari Karonen, Yawu Liu, Juho Nuutinen, A Gregory Sorensen.   

Abstract

PURPOSE: To investigate a previously developed method for perfusion-weighted MRI (PWI) cerebral blood flow (CBF) estimation that uses local arterial input functions (AIFs) in stroke patients, and determine its ability to correct delay and/or dispersion (D/D) errors.
MATERIALS AND METHODS: Analysis was performed on dynamic susceptibility contrast data from 36 stroke patients, and CBF maps were calculated with global- and local-AIF techniques using standard SVP based methods. The ratios of these maps were calculated and the mean ratios were calculated for voxels with both normal and abnormal time to peak or width. The locations of the voxels with high locally-defined to globally-defined CBF ratios were also mapped and the average underlying concentration-time curves for these voxels were calculated.
RESULTS: The ratio of CBF estimates based on local AIFs to global AIFs was on average increased for D/D voxels. The voxels in which this ratio was high were commonly concentrated in the ipsilateral hemisphere, and these voxels also displayed underlying concentration-time curves that showed delay or dispersion. Conversely, there were no such findings based on high globally-defined to locally-defined CBF ratios.
CONCLUSION: The local-AIF technique results in an increase in the calculated CBF values for tissues with D/D, consistent with a reduction in the errors associated with D/D. (c) 2006 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2006        PMID: 16767708     DOI: 10.1002/jmri.20625

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  11 in total

1.  Early time points perfusion imaging: theoretical analysis of correction factors for relative cerebral blood flow estimation given local arterial input function.

Authors:  Kenneth K Kwong; David A Chesler
Journal:  Neuroimage       Date:  2011-04-08       Impact factor: 6.556

Review 2.  Theoretical basis of hemodynamic MR imaging techniques to measure cerebral blood volume, cerebral blood flow, and permeability.

Authors:  G Zaharchuk
Journal:  AJNR Am J Neuroradiol       Date:  2007 Nov-Dec       Impact factor: 3.825

Review 3.  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

4.  Validating a local Arterial Input Function method for improved perfusion quantification in stroke.

Authors:  Lisa Willats; Soren Christensen; Henry K Ma; Geoffrey A Donnan; Alan Connelly; Fernando Calamante
Journal:  J Cereb Blood Flow Metab       Date:  2011-06-01       Impact factor: 6.200

5.  Utilization of MR angiography in perfusion imaging for identifying arterial input function.

Authors:  Bora Buyuksarac; Mehmed Ozkan
Journal:  MAGMA       Date:  2017-07-25       Impact factor: 2.310

Review 6.  MR perfusion imaging in acute ischemic stroke.

Authors:  William A Copen; Pamela W Schaefer; Ona Wu
Journal:  Neuroimaging Clin N Am       Date:  2011-05       Impact factor: 2.264

7.  Early time points perfusion imaging: relative time of arrival, maximum derivatives and fractional derivatives.

Authors:  Kenneth K Kwong; Ona Wu; Suk-Tak Chan; Koen Nelissen; Mykhaylo Kholodov; David A Chesler
Journal:  Neuroimage       Date:  2011-05-12       Impact factor: 6.556

8.  Optimising MR perfusion imaging: comparison of different software-based approaches in acute ischaemic stroke.

Authors:  Lars-Arne Schaafs; David Porter; Heinrich J Audebert; Jochen B Fiebach; Kersten Villringer
Journal:  Eur Radiol       Date:  2016-02-06       Impact factor: 5.315

9.  Early time points perfusion imaging.

Authors:  Kenneth K Kwong; Timothy G Reese; Koen Nelissen; Ona Wu; Suk-Tak Chan; Thomas Benner; Joseph B Mandeville; Mary Foley; Wim Vanduffel; David A Chesler
Journal:  Neuroimage       Date:  2010-09-17       Impact factor: 6.556

Review 10.  Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence.

Authors:  Tracy D Farr; Susanne Wegener
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

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