Literature DB >> 20928889

The effect of blood inflow and B(1)-field inhomogeneity on measurement of the arterial input function in axial 3D spoiled gradient echo dynamic contrast-enhanced MRI.

Caleb Roberts1, Ross Little, Yvonne Watson, Sha Zhao, David L Buckley, Geoff J M Parker.   

Abstract

A major potential confound in axial 3D dynamic contrast-enhanced magnetic resonance imaging studies is the blood inflow effect; therefore, the choice of slice location for arterial input function measurement within the imaging volume must be considered carefully. The objective of this study was to use computer simulations, flow phantom, and in vivo studies to describe and understand the effect of blood inflow on the measurement of the arterial input function. All experiments were done at 1.5 T using a typical 3D dynamic contrast-enhanced magnetic resonance imaging sequence, and arterial input functions were extracted for each slice in the imaging volume. We simulated a set of arterial input functions based on the same imaging parameters and accounted for blood inflow and radiofrequency field inhomogeneities. Measured arterial input functions along the vessel length from both in vivo and the flow phantom agreed with simulated arterial input functions and show large overestimations in the arterial input function in the first 30 mm of the vessel, whereas arterial input functions measured more centrally achieve accurate contrast agent concentrations. Use of inflow-affected arterial input functions in tracer kinetic modeling shows potential errors of up to 80% in tissue microvascular parameters. These errors emphasize the importance of careful placement of the arterial input function definition location to avoid the effects of blood inflow.
© 2010 Wiley-Liss, Inc.

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Year:  2011        PMID: 20928889     DOI: 10.1002/mrm.22593

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


  20 in total

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2.  Modification of population based arterial input function to incorporate individual variation.

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4.  Vascular input function correction of inflow enhancement for improved pharmacokinetic modeling of liver DCE-MRI.

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Journal:  Magn Reson Med       Date:  2017-11-10       Impact factor: 4.668

5.  Semiautomatic determination of arterial input function in DCE-MRI of the abdomen.

Authors:  Harrison Kim; Desiree E Morgan
Journal:  J Biomed Eng Med Imaging       Date:  2017-04-28

6.  Variability in Quantitative DCE-MRI: Sources and Solutions.

Authors:  Harrison Kim
Journal:  J Nat Sci       Date:  2018

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Journal:  Quant Imaging Med Surg       Date:  2012-12

9.  Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  M O Leach; B Morgan; P S Tofts; D L Buckley; W Huang; M A Horsfield; T L Chenevert; D J Collins; A Jackson; D Lomas; B Whitcher; L Clarke; R Plummer; I Judson; R Jones; R Alonzi; T Brunner; D M Koh; P Murphy; J C Waterton; G Parker; M J Graves; T W J Scheenen; T W Redpath; M Orton; G Karczmar; H Huisman; J Barentsz; A Padhani
Journal:  Eur Radiol       Date:  2012-05-07       Impact factor: 5.315

10.  Estimating breast tumor blood flow during neoadjuvant chemotherapy using interleaved high temporal and high spatial resolution MRI.

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Journal:  Magn Reson Med       Date:  2017-04-03       Impact factor: 4.668

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