Abstract #3406
Overcoming the Image Position-Dependent Resolution Inherent in DFT and CS Reconstructions
Michael R. Smith 1,2 , Jordan Woehr 1 , Mathew E. MacDonald 2,3 , and Paniz Adipour 1
1
Electrical and Computer Engineering,
University of Calgary, Calgary, Alberta, Canada,
2
Radiology,
University of Calgary, Calgary, Alberta, Canada,
3
Seaman
MR Family Research Centre, University of Calgary,
Calgary, Alberta, Canada
Truncated
k
-space
data sets provide higher temporal resolution but
compromise spatial resolution during DFT reconstruction.
Compressed sensing, using under-sampled data, is used to
improve spatial resolution while retaining temporal
resolution. Certain Fourier domain properties can
produce MRI CS reconstruction with resolutions that are
dependent on the position of an object in the final
reconstructed image. We demonstrate this position
dependent resolution and propose two approaches to
overcome it: Fourier Shift (FS) and Area Specific
Additional Truncation (ASAT) image resolution
enhancement pre-processing techniques.
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