An evaluation of four parametric models of contrast enhancement for dynamic magnetic resonance imaging of the breast

Gal, Y., Mehnert, A., Bradley, A., McMahon, K. and Crozier, S. (2007). An evaluation of four parametric models of contrast enhancement for dynamic magnetic resonance imaging of the breast. In: A. Dittmar and J. Clark, Proceedings of the 29th Annual International Conference of the IEEE EMBS. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007), Lyon, France, (71-74). 23-26 August 2007. doi:10.1109/IEMBS.2007.4352225


Author Gal, Y.
Mehnert, A.
Bradley, A.
McMahon, K.
Crozier, S.
Title of paper An evaluation of four parametric models of contrast enhancement for dynamic magnetic resonance imaging of the breast
Conference name 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2007)
Conference location Lyon, France
Conference dates 23-26 August 2007
Proceedings title Proceedings of the 29th Annual International Conference of the IEEE EMBS   Check publisher's open access policy
Journal name 2007 Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Vols 1-16   Check publisher's open access policy
Place of Publication Piscataway, NJ, U.S.A.
Publisher IEEE- Institute of Electrical Electronics Engineers Inc.
Publication Year 2007
Sub-type Fully published paper
DOI 10.1109/IEMBS.2007.4352225
ISBN 9781424407873
ISSN 1557-170X
Editor A. Dittmar
J. Clark
Start page 71
End page 74
Total pages 4
Collection year 2008
Language eng
Abstract/Summary This paper presents an empirical evaluation of the goodness-of-fit (GOF) of four parametric models of contrast enhancement for dynamic resonance imaging of the breast: the Tofts, Brix, and Hayton pharmacokinetic models, and a novel empiric model. The goodness-of-fit of each model was evaluated with respect to: (i) two model-fitting algorithms (Levenberg-Marquardt and Nelder-Mead) and two fitting tolerances; and (ii) temporal resolution. In the first case the GOF was measured using data from three dynamic contrast-enhanced (DCE) MRI data sets from routine clinical examinations: one case with benign enhancement, one with malignant enhancement, and one with normal findings. Results are presented for fits to both the whole breast volume and to a selected region of interest. In the second case the GOF was measured by first fitting the models to several temporally sub-sampled versions of a custom high temporal resolution data set (subset of the breast volume containing a malignant lesion), and then comparing the fitted results to the original full temporal resolution data. Our results demonstrate that under the various optimization conditions considered, in general, both the proposed empiric model and the Hayton model fit the data equally well and that both of these models fit the data better than the Tofts and Brix models.
Keyword Hayton pharmacokinetic model
Model-fitting algorithms
Brix model
Breast imaging
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Wed, 30 Apr 2008, 13:40:32 EST by Donna Clark on behalf of School of Information Technol and Elec Engineering