title: Acceleration of conventional data acquisition in dynamic contrast enhancement: comparing keyhole approaches with compressive sensing.
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.
authors.affiliation: Joint Program in Biomedical Engineering, University of Texas, Arlington, and University of Texas Southwestern Medical Center, Dallas, TX; Medical Imaging Research Centre, Dayananda Sagar College of Engineering, Bangalore, India.
authors.forename: Sairam
authors.initials: S
authors.lastname: Geethanath
authors.affiliation: Joint Program in Biomedical Engineering, University of Texas, Arlington, and University of Texas Southwestern Medical Center, Dallas, TX.
authors.forename: Praveen K
authors.initials: PK
authors.lastname: Gulaka
authors.affiliation: 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.
authors.forename: Vikram D
authors.initials: VD
authors.lastname: Kodibagkar
mesh_terms: D000465:Algorithms; D000818:Animals; D003287:Contrast Media / Q000737:chemistry* / Q000493:pharmacokinetics*; D005260:Female; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008325:Mammary Neoplasms, Experimental / Q000378:metabolism / Q000473:pathology; D051381:Rats; D011916:Rats, Inbred F344
chemical_list: D003287:Contrast Media