• DocumentCode
    3559708
  • Title

    Least Squares Magnetic-Field Optimization for Portable Nuclear Magnetic Resonance Magnet Design

  • Author

    Paulsen, Jeffrey L. ; Franck, John ; Demas, Vasiliki ; Bouchard, Louis-S

  • Author_Institution
    Coll. of Chem., Univ. of California, Berkeley, CA
  • Volume
    44
  • Issue
    12
  • fYear
    2008
  • Firstpage
    4582
  • Lastpage
    4590
  • Abstract
    Single-sided and mobile nuclear magnetic resonance (NMR) sensors have the advantages of portability, low cost, and low power consumption compared to conventional high-field NMR and magnetic resonance imaging (MRI) systems. We present fast, flexible, and easy-to-implement target field algorithms for mobile NMR and MRI magnet design. The optimization finds a global optimum in a cost function that minimizes the error in the target magnetic field in the sense of least squares. When the technique is tested on a ring array of permanent-magnet elements, the solution matches the classical dipole Halbach solution. For a single-sided handheld NMR sensor, the algorithm yields a 640 G field homogeneous to 16 100 ppm across a 1.9 cm3 volume located 1.5 cm above the top of the magnets and homogeneous to 32 200 ppm over a 7.6 cm3 volume. This regime is adequate for MRI applications. We demonstrate that the homogeneous region can be continuously moved away from the sensor by rotating magnet rod elements, opening the way for NMR sensors with adjustable ldquosensitive volumes.rdquo
  • Keywords
    NMR spectroscopy; least squares approximations; magnetic resonance imaging; magnetic sensors; optimisation; MRI; NMR; least squares magnetic-field optimization; nuclear magnetic resonance; permanent-magnet elements; portable magnet design; Least-squares optimization; magnetic devices; magnetic resonance; magnetostatics; nuclear magnetic resonance;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2008.2001697
  • Filename
    4711303