Abstract #3499
Interpolated Compressed Sensing MR Image Reconstruction in Phase Encoding for the Brain
Yong Pang 1 , Daniel B. Vigneron 1,2 , and Xiaoliang Zhang 1,2
1
Dept of Radiology and Biomedical Imaging,
University of California San Francisco, San Francisco,
CA, United States,
2
UCSF/UC
Berkeley Joint Graduate Group in Bioengineering, San
Francisco & Berkeley, CA, United States
The interpolated Compressed Sensing method is able to
reduce the image error and increase contrast-to-noise
ratio (CNR) for multi-slice two-dimensional MR imaging.
In this study we developed the iCS method in phase
encoding direction to facilitate its practical
implementation for brain imaging, making it easier to
meet the requirement of the gradient slew rate and
maximum amplitude.
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