Literature DB >> 15508148

Estimating the arterial input function using two reference tissues in dynamic contrast-enhanced MRI studies: fundamental concepts and simulations.

Cheng Yang1, Gregory S Karczmar, Milica Medved, Walter M Stadler.   

Abstract

In dynamic contrast-enhanced MRI (DCE-MRI) studies, an accurate knowledge of the arterial contrast agent concentration as a function of time is crucial for the estimation of kinetic parameters. In this work, a novel method for estimating the arterial input function (AIF) based on the contrast agent concentration-vs.-time curves in two different reference tissues is described. It is assumed that the AIFs of the two tissues have the same shape, and that simple models with two or more compartments, and unknown kinetic parameters, can describe their tracer concentration-vs.-time curves. Based on the principle of self-consistency, one can relate the two tracer concentration-vs.-time curves to estimate their common underlining AIF, together with the kinetic parameters of the two tissues. In practice, the measured concentration-vs.-time curves have noise, and the AIFs of the two tissues are not exactly the same due to different dispersion effects. These factors will produce errors in the AIF estimate. Simulation studies show that despite the two error sources, the double-reference-tissue method provides reliable estimates of the AIF. (c) 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15508148     DOI: 10.1002/mrm.20243

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


  41 in total

1.  An expectation-maximisation approach for simultaneous pixel classification and tracer kinetic modelling in dynamic contrast enhanced-magnetic resonance imaging.

Authors:  Mario Sansone; Roberta Fusco; Antonella Petrillo; Mario Petrillo; Marcello Bracale
Journal:  Med Biol Eng Comput       Date:  2010-11-03       Impact factor: 2.602

2.  Diagnosis of suspicious breast lesions using an empirical mathematical model for dynamic contrast-enhanced MRI.

Authors:  Xiaobing Fan; Milica Medved; Gregory S Karczmar; Cheng Yang; Sean Foxley; Sanaz Arkani; Wendy Recant; Marta A Zamora; Hiroyuki Abe; Gillian M Newstead
Journal:  Magn Reson Imaging       Date:  2006-11-30       Impact factor: 2.546

3.  Incorporating the effects of transcytolemmal water exchange in a reference region model for DCE-MRI analysis: theory, simulations, and experimental results.

Authors:  Thomas E Yankeelov; Jeffrey J Luci; Laura M DeBusk; P Charles Lin; John C Gore
Journal:  Magn Reson Med       Date:  2008-02       Impact factor: 4.668

4.  Simulation-based comparison of two approaches frequently used for dynamic contrast-enhanced MRI.

Authors:  Stefan Zwick; Gunnar Brix; Paul S Tofts; Ralph Strecker; Annette Kopp-Schneider; Hendrik Laue; Wolfhard Semmler; Fabian Kiessling
Journal:  Eur Radiol       Date:  2009-09-01       Impact factor: 5.315

5.  Incorporating a vascular term into a reference region model for the analysis of DCE-MRI data: a simulation study.

Authors:  A Z Faranesh; T E Yankeelov
Journal:  Phys Med Biol       Date:  2008-04-25       Impact factor: 3.609

6.  Simulation study of the effect of golden-angle KWIC with generalized kinetic model analysis on diagnostic accuracy for lesion discrimination.

Authors:  Melanie Freed; Sungheon G Kim
Journal:  Magn Reson Imaging       Date:  2014-09-28       Impact factor: 2.546

7.  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

8.  A linear algorithm of the reference region model for DCE-MRI is robust and relaxes requirements for temporal resolution.

Authors:  Julio Cárdenas-Rodríguez; Christine M Howison; Mark D Pagel
Journal:  Magn Reson Imaging       Date:  2012-12-08       Impact factor: 2.546

9.  A new approach to analysis of the impulse response function (IRF) in dynamic contrast-enhanced MRI (DCEMRI): a simulation study.

Authors:  Xiaobing Fan; Gregory S Karczmar
Journal:  Magn Reson Med       Date:  2009-07       Impact factor: 4.668

10.  Reproducibility assessment of a multiple reference tissue method for quantitative dynamic contrast enhanced-MRI analysis.

Authors:  Cheng Yang; Gregory S Karczmar; Milica Medved; Aytekin Oto; Marta Zamora; Walter M Stadler
Journal:  Magn Reson Med       Date:  2009-04       Impact factor: 4.668

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