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
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
We demonstrate that virtual coils can localize signal from a
region-of interest and suppress signal from uninteresting spatial regions, all
without requiring pulse sequence or hardware modifications. Reduced-FOV imaging applications are shown.
Figure 4. Illustration of using
beamforming to steer the sensitivity of the virtual array to different spatial
positions. The video shows ROVir results obtained from sweeping a
circular-shaped ROI (i.e., everything interior to the green circle) through the
FOV for a 32-channel brain MRI dataset.
Figure 3. Application of ROVir to reduce the size of the FOV in
non-cartesian sagittal brain imaging, which enables highly-effective mitigation
of aliasing artifacts when using a spiral k-space trajectory designed for a
smaller FOV. The signal ROIs are marked in green, while the interference
regions are marked in red.
Reconstruction was based on simple gridding13.