Meeting Banner
Abstract #3033

Improving ASL Using 3D bSSFP with Background Suppression and Two-Dimensional GRAPPA

Hua-Shan Liu1, Daeun Kim1, Randall B. Stafford1, Se-Hong Oh1, Sung-Hong Park2, Danny J.J. Wang3, Ze Wang1, Misung Han4, John A. Detre1, Jongho Lee1

1University of Pennsylvania, Philadelphia, PA, United States; 2Korean Advanced Institute for Science and Technology, Daejun, Korea; 3University of California, Los Angeles, LA, United States; 4University of California, San Francisco, San Francisco, CA, United States

In this study, we investigated the characteristics of a 3D bSSFP sequence in ASL. We developed a BS-pCASL bSSFP with 2D (Ky and Kz) GRAPPA acceleration. The results were compared with conventional 2D EPI ASL. We demonstrated the advantages of a 3D BS pCASL-bSSFP sequence with high quality data while keeping the acquisition fast and efficient.

Keywords

accelerated acceleration acquiring acquisition activation activity allows alternated assumed background bias bilateral block blue blurring brain central centric channel characteristics checkerboard coil condition confirmed consisted contrast control coronal cortex covering decay degree delay demonstrating dependent detecting developed deviation dimensional distortion divided drop duration efficient enabled encoded encoding errors even every experiment exponential fast free fully function functional gray head hence hong hyperbolic improves improving incorporate incorporated induces intensity introduces inversion investigated keeping kernel known label labeling lastly linear little long longer makes matrix measured moderate moreover much optimal overcome park percent perfusion pixel placed plotted post precession prolonged promise prone pulse pulses quality ramp rapid readout reconstruction recovery reduce reduced reducing resolution respectively rest revealing robustness schemes science series simulated simulation since slice slices slow spatial spiral spread steady stimulated stimulation substantially subtracted suggested suitable summarizes sung suppression susceptibility table tagging take technology temporal terms train uncorrected various visual volume whole