Post-processing of dynamic gadolinium-enhanced magnetic resonance imaging exams of the liver: Explanation and potential clinical applications for color-coded qualitative and quantitative analysis Journal Article


Authors: Wang, L.; Van Den Bos, I. C.; Hussain, S. M.; Pattynama, P. M.; Vogel, M. W.; Krestin, G. P.
Article Title: Post-processing of dynamic gadolinium-enhanced magnetic resonance imaging exams of the liver: Explanation and potential clinical applications for color-coded qualitative and quantitative analysis
Abstract: The purpose of this article is to explain and illustrate the current status and potential applications of automated and color-coded post-processing techniques for the analysis of dynamic multiphasic gadolinium-enhanced magnetic resonance imaging (MRI) of the liver. Post-processing of these images on dedicated workstations allows the generation of time-intensity curves (TIC) as well as color-coded images, which provides useful information on (neo)-angiogenesis within a liver lesion, if necessary combined with information on enhancement patterns of the surrounding liver parenchyma. Analysis of TIC and color-coded images, which are based on pharmacokinetic modeling, provides an easy-to-interpret schematic presentation of tumor behavior, providing additional characteristics for adequate differential diagnosis. Inclusion of TIC and color-coded images as part of the routine abdominal MRI workup protocol may help to further improve the specificity of MRI findings, but needs to be validated in clinical decision-making situations. In addition, these tools may facilitate the diagnostic workup of disease for detection, characterization, staging, and monitoring of antitumor therapy, and hold incremental value to the widely used tumor response criteria. © 2008 Informa UK Ltd. (Informa Healthcare, Taylor & Francis AS).
Keywords: review; liver neoplasms; gadolinium; nuclear magnetic resonance imaging; methodology; magnetic resonance imaging; pathology; angiogenesis; time; time factors; liver; diagnostic agent; image enhancement; medical imaging; liver tumor; liver disease; liver diseases; contrast medium; contrast media; image processing, computer-assisted; image processing; decision making; biological organs; post processing; imaging systems; color; color coded; dynamic imaging; liver nodule; post-processing; time-intensity curve; image coding; liver nodules; time intensity curves
Journal Title: Acta Radiologica
Volume: 49
Issue: 1
ISSN: 0284-1851
Publisher: Sage Publications Ltd.  
Date Published: 2008-02-01
Start Page: 6
End Page: 18
Language: English
DOI: 10.1080/02841850701630300
PUBMED: 18210307
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 2" - "Export Date: 17 November 2011" - "CODEN: ACRAE" - "Source: Scopus"
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  1. Liang Wang
    35 Wang