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Strategies for Maximizing Signal to Noise in Decoupled Receive Coil Arrays for Magnetic Resonance Imaging

  • Author / Creator
    Maunder, Adam M
  • Designing radio frequency coil arrays for optimal Magnetic Resonance Imaging (MRI) has been a wide area of interest for many years. The optimum coil type for high density arrays and the mitigation of coupling between elements in arrays are significant problems addressed in this thesis. Coupling causes signal and noise transfer between coils, which affects optimum preamplifier noise matching, can cause resonant frequency splitting and degrade individual coil sensitivities. A theoretical framework for modeling capacitive coupling between array elements is developed and it is shown that coils can be completely decoupled by modified capacitive coupling without loss of SNR performance. Composite coils are three naturally decoupled orthogonal coils. During the design and testing of an 8-coil composite coil array their potential benefits in terms of SNR and parallel imaging are demonstrated. Also, composite arrays are compared to surface arrays with equal element count in relation to the maximum theoretical performance.

  • Subjects / Keywords
  • Graduation date
    2013-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3QN5ZK9C
  • 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 Electrical and Computer Engineering
  • Specialization
    • Biomedical Engineering
  • Supervisor / co-supervisor and their department(s)
    • De Zanche, Nicola (Oncology)
    • Mousavi, Pedram (Electrical and Computer Engineering)
    • Daneshmand, Mojgan (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Mousavi, Pedram (Electrical and Computer Engineering)
    • Daneshmand, Mojgan (Electrical and Computer Engineering)
    • De Zanche, Nicola (Oncology)
    • Wachowicz, Keith (Oncology)
    • Hossain, Masum (Electrical and Computer Engineering)