Meeting Banner
Abstract #0241

Performance comparison of compressed sensing algorithms for accelerating T1ρ mapping of Human Brain

Rajiv G Menon1, Marcelo VW Zibetti1, and Ravinder R Regatte1

1Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States

3D-T mapping sequences are useful MRI methods in various neuropathologies but its data acquisition requires long scan times. We compared the performance of 5 compressive sensing (CS) algorithms with acceleration factors (AF) up to 10. We evaluated image quality and T estimation errors as a function of AF. Six healthy volunteers were recruited and they underwent T imaging of the whole brain with full Cartesian acquisition. Assessment of image reconstruction and T estimation errors in this study show that the CS method using spatial and temporal finite differences as a regularization function performs the best for accelerating T quantification in the brain.

This abstract and the presentation materials are available to members only; a login is required.

Join Here