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Critical Reviews™ in Biomedical Engineering

ISSN Print: 0278-940X
ISSN Online: 1943-619X

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.2014010669
pages 437-450

Acceleration of Conventional Data Acquisition in Dynamic Contrast Enhancement: Comparing Keyhole Approaches With Compressive Sensing

Sairam Geethanath
Medical Imaging Research Centre, Dayananda Sagar Institutions, S.M. Hills, Kumarswamy Layout, Bangalore-560078, India
Praveen K. Gulaka
Joint Program in Biomedical Engineering, University of Texas, Arlington, and University of Texas Southwestern Medical Center, Dallas, TX
Vikram D. Kodibagkar
Joint Program in Biomedical Engineering, University of Texas, Arlington, and University of Texas Southwestern Medical Center, Dallas, TX; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX; Arizona State University

ABSTRACT

Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) has become a valuable clinical tool for cancer diagnosis and prognosis. DCE MRI provides pharmacokinetic parameters dependent on the extravasation of small molecular contrast agents, and thus high temporal resolution and/or spatial resolution is required for accurate estimation of parameters. In this article we investigate the efficacy of 2 undersampling approaches to speed up DCE MRI: a conventional keyhole approach and compressed sensing−based imaging. Data reconstructed from variants of these methods has been compared with the full k-space reconstruction with respect to data quality and pharmacokinetic parameters Ktrans and ve. Overall, compressive sensing provides better data quality and reproducible parametric maps than key-hole methods with higher acceleration factors. In particular, an undersampling mask based on a priori precontrast data showed high fidelity of reconstructed data and parametric maps up to 5× acceleration.