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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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