Literature DB >> 19142193

Optimal location for arterial input function measurements near the middle cerebral artery in first-pass perfusion MRI.

Egbert J W Bleeker1, Mark A van Buchem, Matthias J P van Osch.   

Abstract

One of the main difficulties in obtaining quantitative perfusion values from dynamic susceptibility contrast-magnetic resonance imaging is a correct arterial input function (AIF) measurement, as partial volume effects can lead to an erroneous shape and amplitude of the AIF. Cerebral blood flow and volume scale linearly with the area under the AIF, but shape changes of the AIF can lead to large, nonlinear errors. Current manual and automated AIF selection procedures do not guarantee the exclusion of partial volume effects from AIF measurements. This study uses a numerical model, validated by phantom experiments, for predicting the optimal location for AIF measurements in the vicinity of the middle cerebral artery (MCA). Three different sequences were investigated and evaluated on a voxel-by-voxel basis by comparison with the ground truth. Subsequently, the predictions were evaluated in an in vivo example. The findings are fourfold: AIF measurements should be performed in voxels completely outside the artery, here a linear relation should be assumed between DeltaR*2 and the concentration contrast agent, the exact optimal location differs per acquisition type, and voxels including a small MCA yield also correct AIF measurements for segmented echo planar imaging when a short echo time was used.

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Year:  2009        PMID: 19142193     DOI: 10.1038/jcbfm.2008.155

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  18 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.  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 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.  Dynamic susceptibility contrast perfusion MRI using phase-based venous output functions: comparison with pseudo-continuous arterial spin labelling and assessment of contrast agent concentration in large veins.

Authors:  Ronnie Wirestam; Emelie Lind; André Ahlgren; Freddy Ståhlberg; Linda Knutsson
Journal:  MAGMA       Date:  2016-06-13       Impact factor: 2.310

5.  Slice-accelerated gradient-echo echo planar imaging dynamic susceptibility contrast-enhanced MRI with blipped CAIPI: effect of increasing temporal resolution.

Authors:  Tomohiro Takamura; Masaaki Hori; Koji Kamagata; Kanako K Kumamaru; Ryusuke Irie; Akifumi Hagiwara; Nozomi Hamasaki; Shigeki Aoki
Journal:  Jpn J Radiol       Date:  2017-10-31       Impact factor: 2.374

6.  Arterial input function in a dedicated slice for cerebral perfusion measurements in humans.

Authors:  Elias Kellner; Irina Mader; Marco Reisert; Horst Urbach; Valerij Gennadevic Kiselev
Journal:  MAGMA       Date:  2017-12-09       Impact factor: 2.310

7.  Combined spin- and gradient-echo perfusion-weighted imaging.

Authors:  Heiko Schmiedeskamp; Matus Straka; Rexford D Newbould; Greg Zaharchuk; Jalal B Andre; Jean-Marc Olivot; Michael E Moseley; Gregory W Albers; Roland Bammer
Journal:  Magn Reson Med       Date:  2011-11-23       Impact factor: 4.668

Review 8.  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

9.  Cerebral perfusion changes in migraineurs: a voxelwise comparison of interictal dynamic susceptibility contrast MRI measurements.

Authors:  Enrico B Arkink; Egbert J W Bleeker; Nicole Schmitz; Guus G Schoonman; Ona Wu; Michel D Ferrari; Mark A van Buchem; Matthias J P van Osch; Mark C Kruit
Journal:  Cephalalgia       Date:  2012-01-30       Impact factor: 6.292

10.  Improving dynamic susceptibility contrast MRI measurement of quantitative cerebral blood flow using corrections for partial volume and nonlinear contrast relaxivity: A xenon computed tomographic comparative study.

Authors:  Greg Zaharchuk; Roland Bammer; Matus Straka; Rexford D Newbould; Jarrett Rosenberg; Jean-Marc Olivot; Michael Mlynash; Maarten G Lansberg; Neil E Schwartz; Michael M Marks; Gregory W Albers; Michael E Moseley
Journal:  J Magn Reson Imaging       Date:  2009-10       Impact factor: 4.813

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