Literature DB >> 17896370

Improved dynamic susceptibility contrast (DSC)-MR perfusion estimates by motion correction.

Robert K Kosior1, Jayme C Kosior, Richard Frayne.   

Abstract

PURPOSE: To investigate the effect of patient motion on quantitative cerebral blood flow (CBF) maps in ischemic stroke patients and to evaluate the efficacy of a motion-correction scheme.
MATERIALS AND METHODS: Perfusion data from 25 ischemic stroke patients were selected for analysis. Two motion profiles were applied to a digital anthropomorphic brain phantom to estimate accuracy. CBF images were generated for motion-corrupted and motion-corrected data. To correct for motion, rigid-body registration was performed. The realignment parameters and mean CBF in regions of interest were recorded.
RESULTS: All patient data with motion exhibited visibly reduced intervolume misalignment after motion correction. Improved flow delineation between different tissues and a more clearly defined ischemic lesion (IL) were achieved in the motion-corrected CBF. A significant difference occurred in the IL (P < 0.05) for patients with severe motion with an average difference between corrupted and corrected data of 4.8 mL/minute/100 g. The phantom data supported the patient results with better CBF accuracy after motion correction and high registration accuracy (<1 mm translational and <1 degrees rotational error).
CONCLUSION: Motion degrades flow differentiation between adjacent tissues in CBF maps and can cause ischemic severity to be underestimated. A registration motion correction scheme improves dynamic susceptibility contrast (DSC)-MR perfusion estimates. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17896370     DOI: 10.1002/jmri.21128

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


  4 in total

1.  ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.

Authors:  K Welker; J Boxerman; A Kalnin; T Kaufmann; M Shiroishi; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-23       Impact factor: 3.825

2.  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

3.  Automated vs manual delineations of regions of interest- a comparison in commercially available perfusion MRI software.

Authors:  Ivana Galinovic; Ann-Christin Ostwaldt; Carina Soemmer; Helena Bros; Benjamin Hotter; Peter Brunecker; Jochen B Fiebach
Journal:  BMC Med Imaging       Date:  2012-07-18       Impact factor: 1.930

4.  Deconvolution-Based CT and MR Brain Perfusion Measurement: Theoretical Model Revisited and Practical Implementation Details.

Authors:  Andreas Fieselmann; Markus Kowarschik; Arundhuti Ganguly; Joachim Hornegger; Rebecca Fahrig
Journal:  Int J Biomed Imaging       Date:  2011-08-28
  4 in total

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