Literature DB >> 27295051

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.

Ronnie Wirestam1, Emelie Lind2, André Ahlgren2, Freddy Ståhlberg2,3, Linda Knutsson2.   

Abstract

OBJECTIVES: Contrast agent (CA) relaxivities are generally not well established in vivo, and the relationship between frequency/phase shift and magnetic susceptibility might be a useful alternative for CA quantification.
MATERIALS AND METHODS: Twenty volunteers (25-84 years old) were investigated using test-retest pre-bolus dynamic susceptibility-contrast (DSC) magnetic resonance imaging (MRI). The pre-bolus phase-based venous output function (VOF) time integral was used for arterial input function (AIF) rescaling. Resulting cerebral blood flow (CBF) data for grey matter (GM) were compared with pseudo-continuous arterial spin labelling (ASL). During the main bolus CA passage, the apparent spatial shift (pixel shift) of the superior sagittal sinus (seen in single-shot echo-planar imaging (EPI)) was converted to CA concentration and compared with conventional ΔR2*-based data and with a predicted phase-based VOF from the pre-bolus experiment.
RESULTS: The phase-based pre-bolus VOF resulted in a reasonable inter-individual GM CBF variability (coefficient of variation 28 %). Comparison with ASL CBF values implied a tissue R2*-relaxivity of 32 mM-1 s-1. Pixel-shift data at low concentrations (data not available at peak concentrations) were in reasonable agreement with the predicted phase-based VOF.
CONCLUSION: Susceptibility-induced phase shifts and pixel shifts are potentially useful for large-vein CA quantification. Previous predictions of a higher R2*-relaxivity in tissue than in blood were supported.

Keywords:  Cerebral blood flow; Cerebrovascular circulation; Contrast agents; Gray matter; Magnetic resonance imaging

Mesh:

Substances:

Year:  2016        PMID: 27295051     DOI: 10.1007/s10334-016-0567-y

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.310


  39 in total

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Authors:  B F Kjølby; L Østergaard; V G Kiselev
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Journal:  J Cereb Blood Flow Metab       Date:  2009-01-14       Impact factor: 6.200

4.  Nonlinear DeltaR*2 effects in perfusion quantification using bolus-tracking MRI.

Authors:  Fernando Calamante; Alan Connelly; Matthias J P van Osch
Journal:  Magn Reson Med       Date:  2009-02       Impact factor: 4.668

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

Authors:  Atle Bjørnerud; Kyrre E Emblem
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6.  Absolute quantification of perfusion by dynamic susceptibility contrast MRI using Bookend and VASO steady-state CBV calibration: a comparison with pseudo-continuous ASL.

Authors:  Emelie Lindgren; Ronnie Wirestam; Karin Markenroth Bloch; André Ahlgren; Matthias J P van Osch; Danielle van Westen; Yulia Surova; Freddy Ståhlberg; Linda Knutsson
Journal:  MAGMA       Date:  2014-02-26       Impact factor: 2.310

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
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8.  Arterial input functions for dynamic susceptibility contrast MRI: requirements and signal options.

Authors:  Thomas E Conturo; Erbil Akbudak; Melanie S Kotys; Maison L Chen; Steve J Chun; Raymond M Hsu; Caitlin C Sweeney; Joanne Markham
Journal:  J Magn Reson Imaging       Date:  2005-12       Impact factor: 4.813

9.  Arterial input functions from MR phase imaging.

Authors:  E Akbudak; T E Conturo
Journal:  Magn Reson Med       Date:  1996-12       Impact factor: 4.668

10.  ΔR2 (*) gadolinium-diethylenetriaminepentacetic acid relaxivity in venous blood.

Authors:  Vishal Patil; Glyn Johnson
Journal:  Magn Reson Med       Date:  2012-05-10       Impact factor: 4.668

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1.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

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2.  Assessment of MRI contrast agent concentration by quantitative susceptibility mapping (QSM): application to estimation of cerebral blood volume during steady state.

Authors:  Emelie Lind; Linda Knutsson; Robin Kämpe; Freddy Ståhlberg; Ronnie Wirestam
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3.  Dynamic Susceptibility Contrast MRI at 7 T: Tail-Scaling Analysis and Inferences About Field Strength Dependence.

Authors:  Linda Knutsson; Xiang Xu; Freddy Ståhlberg; Peter B Barker; Emelie Lind; Pia C Sundgren; Peter C M van Zijl; Ronnie Wirestam
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