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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
  • Graduation date
    2011-11
  • 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.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Oncology
  • Supervisor / co-supervisor and their department(s)
    • Thompson, Richard (Biomedical Engineering)
    • Fallone, B. Gino (Oncology)
    • Wachowicz, Keith (Oncology)
    • De Zanche, Nicola (Oncology)
  • Examining committee members and their departments
    • Wilman, Alan (Biomedical Engineering)
    • De Zanche, Nicola (Oncology)
    • Fallone, B. Gino (Oncology)
    • Thompson, Richard (Biomedical Engineering)
    • Wachowicz, Keith (Oncology)