Literature DB >> 19672948

Partial volume effect (PVE) on the arterial input function (AIF) in T1-weighted perfusion imaging and limitations of the multiplicative rescaling approach.

Adam E Hansen1, Henrik Pedersen, Egill Rostrup, Henrik B W Larsson.   

Abstract

The partial volume effect (PVE) on the arterial input function (AIF) remains a major obstacle to absolute quantification of cerebral blood flow (CBF) using MRI. This study evaluates the validity and performance of a commonly used multiplicative rescaling of the AIF to correct for the PVE. In a group of six patients, perfusion imaging was performed using a T(1)-weighted approach that minimizes confounding susceptibility artifacts. Various degrees of PVE were induced on the AIF and subsequently corrected using four different schemes of multiplicative AIF rescaling. Our results show that a multiplicative rescaling is not always applicable and can introduce a CBF bias. An easily measurable quantity denoted the tissue signal fraction (TSF) is proposed as a measure of the applicability of a multiplicative rescaling. For the present CBF quantification method, a TSF of <0.4 results in a CBF bias <15% after AIF rescaling. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19672948     DOI: 10.1002/mrm.22098

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  22 in total

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Journal:  Magn Reson Med       Date:  2011-12-12       Impact factor: 4.668

2.  SCALE-PWI: A pulse sequence for absolute quantitative cerebral perfusion imaging.

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

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4.  Impact of the arterial input function on microvascularization parameter measurements using dynamic contrast-enhanced ultrasonography.

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Review 5.  Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer.

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6.  Accurate determination of blood-brain barrier permeability using dynamic contrast-enhanced T1-weighted MRI: a simulation and in vivo study on healthy subjects and multiple sclerosis patients.

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7.  Fast, reproducible measurement of the vascular input function in mice using constrained reconstruction and cardiac sampling.

Authors:  Dustin K Ragan; Stephen Y Lai; James A Bankson
Journal:  NMR Biomed       Date:  2010-09-22       Impact factor: 4.044

8.  A comparison of individual and population-derived vascular input functions for quantitative DCE-MRI in rats.

Authors:  David A Hormuth; Jack T Skinner; Mark D Does; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2014-01-07       Impact factor: 2.546

9.  Gaussian mixture model-based classification of dynamic contrast enhanced MRI data for identifying diverse tumor microenvironments: preliminary results.

Authors:  S H Han; E Ackerstaff; R Stoyanova; S Carlin; W Huang; J A Koutcher; J K Kim; G Cho; G Jang; H Cho
Journal:  NMR Biomed       Date:  2013-02-25       Impact factor: 4.044

10.  Evaluation of dynamic contrast-enhanced T1-weighted perfusion MRI in the differentiation of tumor recurrence from radiation necrosis.

Authors:  Vibeke A Larsen; Helle J Simonsen; Ian Law; Henrik B W Larsson; Adam E Hansen
Journal:  Neuroradiology       Date:  2012-12-22       Impact factor: 2.804

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