Model-based reconstruction for undersampled dynamic contrast enhanced MRI

Ben K. Felsted; Ross T. Whitaker; Matthias Schabel; Edward V. R. DiBella

doi:10.1117/12.813991

4 March 2009 Model-based reconstruction for undersampled dynamic contrast-enhanced MRI

Ben K. Felsted, Ross T. Whitaker, Matthias Schabel, Edward V. R. DiBella

Proceedings Volume 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging; 72622S (2009) https://doi.org/10.1117/12.813991
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

Ben K. Felsted, Ross T. Whitaker, Matthias Schabel, and Edward V. R. DiBella "Model-based reconstruction for undersampled dynamic contrast-enhanced MRI", Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72622S (4 March 2009); https://doi.org/10.1117/12.813991

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