Accelerated positive contrast MRI of interventional devices using parallel compressed sensing imaging.

Affiliation

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA. Electronic address: [Email]

Abstract

Susceptibility-based magnetic resonance imaging (MRI) method can image small MR-compatible devices with positive contrast. However, the relatively long data acquisition time required by the method hinders its practical applications. This study presents a parallel compressive sensing technique with a modified fast spin echo to accelerate data acquisition for the susceptibility-based positive contrast MRI. The method integrates the generalized autocalibrating partially parallel acquisitions and the compressive sensing techniques in the reconstruction algorithm. MR imaging data acquired from several phantoms containing interventional devices such as biopsy needles, stent, and brachytherapy seeds, used for validating the proposed technique. The results show that it can speed up data acquisition by a factor of about five while preserving the quality of the positive contrast images.

Keywords

Interventional imaging,Parallel MRI,Positive contrast MRI,Susceptibility mapping,