Jerome Yerly1,2, Michel Louis Lauzon2,3, Richard Frayne2,3
1Department of Electrical & Computer Engineering, University of Calgary, Calgary, AB, Canada; 2Foothills Medical Centre, Seaman Family MR Research Centre, Calgary, AB, Canada; 3Departments of Radiology & Clinical Neurosciences, University of Calgary, Calgary, AB, Canada
Time-of-flight (TOF) MRA has been successfully used to diagnose stenoses in large arteries. However, imaging stenoses in smaller arteries requires acquiring high-resolution images, which is particularly challenging in TOF data acquisition because of the tradeoff between spatial resolution, acquisition time and signal-to-noise ratio (SNR). Accelerated approaches such as compressed sensing (CS) may prove favorable for accurate reconstruction of undersampled k-space datasets. Here, we investigated the potential of improving the spatial resolution by using the CS paradigm to acquire and reconstruct vastly undersampled high-resolution TOF k-space datasets, while maintaining reasonable scan time and SNR.