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Comparison of Model-Based Arterial Input Functions for Dynamic Contrast-Enhanced MRI in Tumor Bearing Rats

McGrath DM, Bradley DP, Tessier JL, Lacey T, Taylor CJ, Parker GJM

Magnetic Resonance in Medicine. 2009;61(5):1173-1184.

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Abstract

When using tracer kinetic modeling to analyze dynamic contrast-enhanced MRI (DCE-MRI) it is necessary to identify an appropriate arterial input function (AIF). The measured AIF is often poorly sampled in both clinical and preclinical MR systems due to the initial rapid increase in contrast agent concentration and the subsequent large-scale signal change tat occurs in the arteries. However, little work has been carried out to quantify the sensitivity of tracer kinetic modeling parameters to the form of AIF. Using a preclinical experimental data set, we sought to measure the effect of varying model forms of AIF on the extended Kety compartmental model parameters (K-trans, v(e), and v(p)) through comparison with the results of experimentally acquired high temporal resolution AIFs. The AIF models examined have the potential to be parameterized on lower temporal resolution data to predict the form of the true, higher temporal resolution AIF. The models were also evaluated through application to the population average AIF. It was concluded that, in the instance of low temporal resolution or noisy data, it may be preferable to use a bi-exponential model applied to the raw data AIF, or when individual measurements are not available a bi-exponential model of the average AIF. Magn Reson Med 61: 1173-1184, 2009

Bibliographic metadata

Type of resource:
Content type:
Publication type:
Publication form:
Published date:
ISSN:
Volume:
61
Issue:
5
Start page:
1173
End page:
1184
Digital Object Identifier:
10.1002/mrm.21959
Access state:
Active

Institutional metadata

University researcher(s):

Record metadata

Manchester eScholar ID:
uk-ac-man-scw:78267
Created by:
Parker, Geoffrey
Created:
29th March, 2010, 14:54:31
Last modified by:
Parker, Geoffrey
Last modified:
25th December, 2014, 20:57:21

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