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MR sequence parameter optimization: an algorithmic approach.

W G Bradley, J S Tsuruda

    AJR. American Journal of Roentgenology
    |October 1, 1987
    PubMed
    Summary
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    Understanding magnetic resonance (MR) pulsing sequences involves primary and secondary parameters. This study explores their interrelationships and proposes an algorithm for optimizing MR sequence selection.

    Area of Science:

    • Medical Imaging
    • Biophysics
    • Radiology

    Background:

    • Magnetic Resonance (MR) pulsing sequences are defined by spatial resolution, signal-to-noise ratio, coverage, acquisition time, and contrast.
    • These secondary parameters are indirectly influenced by primary parameters like field of view, projections, slice thickness, number of excitations, and timing parameters (repetition time, echo delay, inversion time).

    Purpose of the Study:

    • To examine the complex interrelationships between primary and secondary parameters in spin-echo MR pulsing sequences.
    • To propose an algorithmic approach for optimizing the selection of these parameters.

    Main Methods:

    • Analysis of the interplay between primary parameters (field of view, projections, slice parameters, number of excitations, timing parameters) and secondary parameters (spatial resolution, signal-to-noise, coverage, acquisition time, contrast).

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  • Focus on the spin-echo pulse sequence to illustrate these relationships.

    • Main Results:

    • Demonstration of how adjustments to primary parameters iteratively affect secondary parameters.
    • Identification of interdependencies that necessitate a compromise-based approach to parameter selection.

    Conclusions:

    • Optimizing MR pulsing sequences requires a thorough understanding of the interrelatedness of primary and secondary parameters.
    • An algorithmic approach can aid in systematically selecting optimal parameters for spin-echo sequences, balancing competing criteria.