@inproceedings{cea6d7888e8c44cb885a2518b82b0949,
title = "Model-based reconstruction for undersampled dynamic contrast-enhanced MRI",
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.",
keywords = "Breast imaging, Dynamic contrast-enhanced magnetic resonance imaging, Iterative reconstruction, Model-based reconstruction, Pharmacokinetic modeling, Undersampled k-space",
author = "Felsted, {Ben K.} and Whitaker, {Ross T.} and Matthias Schabel and DiBell, {Edward V.R.}",
year = "2009",
doi = "10.1117/12.813991",
language = "English (US)",
isbn = "9780819475138",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
booktitle = "Medical Imaging 2009",
note = "Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 08-02-2009 Through 10-02-2009",
}