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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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