Efficient data acquisition, transmission and post-processing for quality spiral Magnetic Resonance Imaging

• Author / Creator

  Jutras, Jean-David

• Spiral Magnetic Resonance Imaging (MRI) has traditionally presented more technical and
  computational challenges compared to its traditional Cartesian counterpart, notably a susceptibility
  to blurring artifacts, especially when scan parameters are non-optimal, and a
  heavier computational load both at the image reconstruction, and post-processing level.
  This research is aimed at improving the efficiency of data acquisition, transmission and
  post-processing for spiral MRI, which continues to become a more common sequence choice
  in applications where speed, signal-to-noise ratio and geometrical accuracy are key requirements.
  In the first part of this thesis, we cover the fundamentals of spiral trajectory design
  and acquisition, image reconstruction by means of fast Gaussian gridding, and a rapid
  method for deblurring a large in vivo dataset. In the second part, we introduce a novel
  technique for compressing spiral MR data acquired from a multi-channel coil array, with
  applications in wireless transmission and data storage. The compressed images are indistinguishable
  from the originals even though the data has been compressed by a factor of 3
  or more.

• Subjects / Keywords

  • Spectral compression
  • High-density coil arrays
  • Dynamic range
  • Artifact correction
  • Wireless coils
  • Spiral MRI
  • Image deblurring
  • Data compression

• Graduation date

  Fall 2011

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/R38070

• License

  This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.