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Proceedings Paper

Model-based reconstruction for undersampled dynamic contrast enhanced MRI
Author(s): Ben K. Felsted; Ross T. Whitaker; Matthias Schabel; Edward V. R. DiBella
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Paper Abstract

This paper describes a method for estimating, from dynamic contrast-enhanced MRI raw k-space data of the breast, parameter maps that model tissue properties associated with a compartmental model of contrast exchange. The contrast agent kinetics, as represented by these parameter maps, are important in distinguishing benign and malignant tumors. The proposed model-based reconstruction algorithm estimates tissue parameter maps directly from MRI k-space data, thereby allowing a new and improved set of spatiotemporal resolution and noise tradeoffs. Realistic noise levels and an undersampling factor of R=4 appeared to provide reasonable accuracy for the kinetic parameters of interest.

Paper Details

Date Published: 4 March 2009
PDF: 10 pages
Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72622S (4 March 2009); doi: 10.1117/12.813991
Show Author Affiliations
Ben K. Felsted, The Univ. of Utah (United States)
Utah Ctr. for Advanced Imaging Research (United States)
Ross T. Whitaker, The Univ. of Utah (United States)
Matthias Schabel, Utah Ctr. for Advanced Imaging Research (United States)
Edward V. R. DiBella, Utah Ctr. for Advanced Imaging Research (United States)


Published in SPIE Proceedings Vol. 7262:
Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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