Model-based Blind Estimation of Kinetic Parameters in DCE-MRI

A method to simultaneously estimate the arterial input function (AIF) and pharmacokinetic model parameters from dynamic contrast-enhanced MRI data was developed. This algorithm uses a parameterized functional form to model the AIF and k-means clustering to classify tissue time-concentration measurem...

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Main Authors: Fluckiger, Jacob U., Schabel, Matthias C., DiBella, Edward V. R.
Formato: Artigo
Idioma:Inglês
Publicado em: 2009
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2884174/
https://ncbi.nlm.nih.gov/pubmed/19859949
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.22101
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spelling pubmed-28841742010-12-01 Model-based Blind Estimation of Kinetic Parameters in DCE-MRI Fluckiger, Jacob U. Schabel, Matthias C. DiBella, Edward V. R. Magn Reson Med Article A method to simultaneously estimate the arterial input function (AIF) and pharmacokinetic model parameters from dynamic contrast-enhanced MRI data was developed. This algorithm uses a parameterized functional form to model the AIF and k-means clustering to classify tissue time-concentration measurements into a set of characteristic curves. An iterative blind estimation algorithm alternately estimated parameters for the input function and the pharmacokinetic model. Computer simulations were used to investigate the algorithm's sensitivity to noise and initial estimates. In 12 patients with sarcomas, pharmacokinetic parameter estimates were compared with “truth” obtained from model regression using a measured AIF. When arterial voxels were included in the blind estimation algorithm, the resulting AIF was similar to the measured input function. The “true” K(trans) values in tumor regions were not significantly different than the estimated values, .99±.41 and .86±.40 min(−1) respectively, p=0.27. “True” k(ep) values also matched closely, .70±.24 and .65±.25 min(−1), p=0.08. When only tissue curves free of significant vascular contribution are used (v(p)<0.05), the resulting AIF showed substantial delay and dispersion consistent with a more local AIF such as has been observed in dynamic susceptibility contrast imaging in the brain. 2009-12 /pmc/articles/PMC2884174/ /pubmed/19859949 http://dx.doi.org/10.1002/mrm.22101 Text en
institution US NLM
collection PubMed Central
language Inglês
format Artigo
topic Article
spellingShingle Article
Fluckiger, Jacob U.
Schabel, Matthias C.
DiBella, Edward V. R.
Model-based Blind Estimation of Kinetic Parameters in DCE-MRI
description A method to simultaneously estimate the arterial input function (AIF) and pharmacokinetic model parameters from dynamic contrast-enhanced MRI data was developed. This algorithm uses a parameterized functional form to model the AIF and k-means clustering to classify tissue time-concentration measurements into a set of characteristic curves. An iterative blind estimation algorithm alternately estimated parameters for the input function and the pharmacokinetic model. Computer simulations were used to investigate the algorithm's sensitivity to noise and initial estimates. In 12 patients with sarcomas, pharmacokinetic parameter estimates were compared with “truth” obtained from model regression using a measured AIF. When arterial voxels were included in the blind estimation algorithm, the resulting AIF was similar to the measured input function. The “true” K(trans) values in tumor regions were not significantly different than the estimated values, .99±.41 and .86±.40 min(−1) respectively, p=0.27. “True” k(ep) values also matched closely, .70±.24 and .65±.25 min(−1), p=0.08. When only tissue curves free of significant vascular contribution are used (v(p)<0.05), the resulting AIF showed substantial delay and dispersion consistent with a more local AIF such as has been observed in dynamic susceptibility contrast imaging in the brain.
author Fluckiger, Jacob U.
Schabel, Matthias C.
DiBella, Edward V. R.
author_facet Fluckiger, Jacob U.
Schabel, Matthias C.
DiBella, Edward V. R.
author_sort Fluckiger, Jacob U.
title Model-based Blind Estimation of Kinetic Parameters in DCE-MRI
title_short Model-based Blind Estimation of Kinetic Parameters in DCE-MRI
title_full Model-based Blind Estimation of Kinetic Parameters in DCE-MRI
title_fullStr Model-based Blind Estimation of Kinetic Parameters in DCE-MRI
title_full_unstemmed Model-based Blind Estimation of Kinetic Parameters in DCE-MRI
title_sort model-based blind estimation of kinetic parameters in dce-mri
publishDate 2009
url https://ncbi.nlm.nih.gov/pmc/articles/PMC2884174/
https://ncbi.nlm.nih.gov/pubmed/19859949
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.22101
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