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Abstract #2486

Highly accelerated time-resolved 4D MRA using stack-of-stars golden-angle radial acquisition and subtraction-based subspace reconstruction

Tianrui Zhao1, Li Feng2, Chase Krumpelman1, Jianing Tang1, Maria Gamez1, Sameer Ansari1, and Lirong Yan1
1Department of Radiology, Northwestern University, Chicago, IL, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, NY, United States

Synopsis

Keywords: Blood Vessels, Image Reconstruction

Motivation: ASL-based time-resolved 4D MRA potentially suffers from temporal blurring when accelerating image acquisition by exploiting temporal correlations.

Goal(s): To develop a robust 4D MRA reconstruction framework that enables a very high acceleration rate while preserving good temporal fidelity.

Approach: We developed a fast low-rank subspace high-resolution 4D MRA (Flash-4D-MRA) that combines SOS golden-angle radial sampling with joint subtraction-based self-calibrated low-rank subspace and magnitude-subtraction sparsity constraint to achieve an ultra-high temporal resolution. Each 4D MRA data was reconstructed with four high acceleration rates.

Results: Dynamic MRA images were successfully reconstructed using Flash-4D-MRA with higher acceleration rates without compromising temporal fidelity.

Impact: Flash-4D-MRA allows for the delineation of cerebral dynamic flow with good image quality and temporal fidelity at an ultra-high temporal resolution, which could be a potentially useful non-contrast 4D MRA technique in clinical applications to characterize fast-flow events.

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Keywords