Literature DB >> 16261570

Partial volume effects on arterial input functions: shape and amplitude distortions and their correction.

Matthias J P van Osch1, Jeroen van der Grond, Chris J G Bakker.   

Abstract

For quantification of perfusion values from a bolus-tracking MRI experiment, the measurement of an arterial input function (AIF) is necessary. Gradient-echo (GE) sequences are commonly used for this type of experiment because they offer a high signal-to-noise ratio (SNR) and the potential to quantify the concentration of contrast agent. Measurements of calibration curves for Gd-DTPA in human blood have shown a quadratic relation between the DeltaR(2)* and the concentration of contrast agent, and a linear relationship between phase changes and the concentration of contrast agent. However, for in vivo studies the spatial resolution is usually limited, which leads to partial volume effects. Partial volume effects result in a complex sum of signal arising from the tissue outside the vessel and a contrast agent concentration-dependent blood signal. Ignoring the presence of partial volume effects can lead to an overestimation or underestimation of the contrast agent concentration, depending on the experimental conditions. Correction for partial volume effects is feasible in arteries that are parallel to the main magnetic field by estimation and subtraction of the static signal of the surrounding tissue. Patient studies showed a large variation due to the AIF measurements, but it has also been shown that this influence can be minimized by correction for partial volume effects.

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Year:  2005        PMID: 16261570     DOI: 10.1002/jmri.20455

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


  28 in total

1.  Correction for arterial-tissue delay and dispersion in absolute quantitative cerebral perfusion DSC MR imaging.

Authors:  Jessy J Mouannes-Srour; Wanyong Shin; Sameer A Ansari; Michael C Hurley; Parmede Vakil; Bernard R Bendok; John L Lee; Colin P Derdeyn; Timothy J Carroll
Journal:  Magn Reson Med       Date:  2011-12-12       Impact factor: 4.668

Review 2.  Real-time diffusion-perfusion mismatch analysis in acute stroke.

Authors:  Matus Straka; Gregory W Albers; Roland Bammer
Journal:  J Magn Reson Imaging       Date:  2010-11       Impact factor: 4.813

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

4.  Uncertainty and bias in contrast concentration measurements using spoiled gradient echo pulse sequences.

Authors:  Matthias C Schabel; Dennis L Parker
Journal:  Phys Med Biol       Date:  2008-04-17       Impact factor: 3.609

Review 5.  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

6.  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

7.  A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: I. Simulations.

Authors:  Matthias C Schabel; Jacob U Fluckiger; Edward V R DiBella
Journal:  Phys Med Biol       Date:  2010-08-03       Impact factor: 3.609

8.  Biopsy targeting with dynamic contrast-enhanced versus standard neuronavigation MRI in glioma: a prospective double-blinded evaluation of selection benefits.

Authors:  Vera C Keil; Bogdan Pintea; Gerrit H Gielen; Susanne Greschus; Rolf Fimmers; Jürgen Gieseke; Matthias Simon; Hans H Schild; Dariusch R Hadizadeh
Journal:  J Neurooncol       Date:  2017-04-19       Impact factor: 4.130

9.  Arterial spin labelling MRI for assessment of cerebral perfusion in children with moyamoya disease: comparison with dynamic susceptibility contrast MRI.

Authors:  Robert Goetti; Ruth O'Gorman; Nadia Khan; Christian J Kellenberger; Ianina Scheer
Journal:  Neuroradiology       Date:  2013-02-13       Impact factor: 2.804

10.  Dynamic susceptibility contrast MRI with localized arterial input functions.

Authors:  John J Lee; G Larry Bretthorst; Colin P Derdeyn; William J Powers; Tom O Videen; Abraham Z Snyder; Joanne Markham; Joshua S Shimony
Journal:  Magn Reson Med       Date:  2010-05       Impact factor: 4.668

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