Meeting Banner
Abstract #4274

Accelerated in vivo mapping of T 2 relaxation from radially undersampled datasets using compressed sensing and model-based reconstruction

Noam Ben-Eliezer 1 , Li Feng 1 , Kai Tobias Block 1 , Daniel K. Sodickson 1 , and Ricardo Otazo 1

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

Accurate in vivo estimation of T 2 relaxation values with high spatial resolution is very challenging in clinical settings. This work, presents the fusion of a recently-developed T 2 mapping technique the echo-modulation curve ( EMC ) algorithm with compressed sensing and model-based reconstruction using undersampled radial trajectories. The EMC approach avoids the common challenges associated with stimulated echoes in multi spin-echo protocols, while compressed sensing removes undersampling-related aliasing artifacts. The synergistic combination of the scanner-invariant EMC algorithm with a folding-free radial sampling scheme offers accelerated quantification of functional (T 2 ) and morphological (proton-density) information at sub-millimeter spatial resolutions and with reduced sensitivity to motion.

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

Join Here