Meeting Banner
Abstract #0064

Region-Optimized Virtual (ROVir) Coils: Application of Sensor-Domain Beamforming for Localizing and/or Suppressing Spatial Regions  

Daeun Kim1, Stephen F. Cauley2, Krishna S. Nayak1, Richard M. Leahy1, and Justin P. Haldar1
1Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States, 2Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States

MRI acquisitions often incidentally excite spatial regions that are not interesting for the application. This unnecessary magnetization can lead to artifacts and/or prolonged acquisitions. We propose a novel virtual-coil approach, called region-optimized virtual (ROVir) coils, that can localize signal from an ROI and/or suppress signal from unwanted spatial regions while also providing coil compression. This is achieved using optimal beamforming principles (without requiring modification of pulse sequences or imaging hardware), and can be applied directly to k-space data, which enables simplified image reconstruction. We illustrate ROVir with reduced-FOV imaging, demonstrating capabilities to suppress aliasing artifacts from outside the nominal FOV.

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

Join Here