Meeting Banner
Abstract #3824

Self-Calibrating Stack-Of-Stars (SOS)-CAIPIRINHA for Improved Parallel Imaging

Felix A. Breuer1, Simon Bauer2, Martin Blaimer1

1Research Center Magnetic Resonance Bavaria, Wrzburg, Bavaria, Germany; 2Siemens Healthcare, Erlangen, Bavaria, Germany

In this work, the concept of CAIPIRINHA is applied to 3D stack-of-stars (SOS) VIBE liver imaging. It is demonstrated that by rotating the stars by Δφ with respect to each other significantly improved parallel imaging performance is achieved compared to standard acceleration in only the radial direction. pMRI reconstruction was performed using a novel self-calibrating segmented radial GRAPPA algorithm tailored to the individual CAIPIRINHA undersampling schemes eliminating the need of an extra calibration scan. This allows for robust high resolution 3D liver imaging within a 12s breath-hold.

Keywords

accelerated acceleration accomplished achieved acquisitions aliasing allow allowing allows amount angular applicability applied artificially audience authors auto basis breathing building calculation calibrated calibrating calibration channels clearly clinical clinicians coil combination concept contrast controlled coordinate correct correspond derived described dimensions either employ encoding enhancement experiment exploited extend extra free fully funding gaps grid gridded idea improved individual interpolating interpolation intrinsically introduced iterative kernel leaving like liver locations longer many martin material matrix mimicking missing motion need noise operating original parallel pars partial partition partitions patterns physicists previously process processing projections proposed providing radial rather read recently reconstruction reconstructions reduced related representative require required resolution respect retrospectively rotated sampled sampling scanner schemes segment segmentation segmented segments self sense sensitivity serving severe significantly simple since slice source space spatial specified speed spirit stack stars steps subsequent suggested support tailored taken target thank thereby towards trajectories treated type unfortunately unique variations various version vibe volunteer