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Gradient Non-Linearity Correction of MR Images for Functional Radiosurgery

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Abstract

    This paper discusses the correction of MR images to submillimeter accuracy needed for functional radiosurgery. MR images experience non-linear distortion due to the magnetic field, which becomes more of a problem for newer machines with larger bores and stronger magnetic fields. This paper models the distortion correction parameters using a spherical harmonics basis, which avoids the need to invert the function to correct the image. The coefficients appear linearly for the spherical harmonics so they are solved for in each dimension by least squares techniques for an MR image of a phantom and the measurements of the phantom. Practical considerations in the design are also covered. © 2006 IEEE.
    Original languageAmerican English
    Title of host publication5th IEEE/ACIS International Conference on Computer and Information Science and 1st IEEE/ACIS International Workshop on Component-Based Software Engineering, Software Architecture and Reuse (ICIS-COMSAR'06)
    PublisherIEEE Computer Society
    Pages338-343
    Number of pages6
    ISBN (Print)0769526136, 9780769526133
    DOIs
    StatePublished - Jan 1 2006
    Event5th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2006. In conjunction with 1st IEEE/ACIS International Workshop on Component-Based Software Engineering, Software Architecture and Reuse, COMSAR 2006 - Honolulu, HI, United States
    Duration: Jul 10 2006Jul 12 2006

    Publication series

    NameAnnual ACIS International Conference on Computer and Information Science

    Conference

    Conference5th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2006. In conjunction with 1st IEEE/ACIS International Workshop on Component-Based Software Engineering, Software Architecture and Reuse, COMSAR 2006
    Country/TerritoryUnited States
    CityHonolulu, HI
    Period7/10/067/12/06

    ASJC Scopus Subject Areas

    • General Engineering

    Keywords

    • Biomedical image processing
    • Magnetic resonance imaging
    • Nonlinear distortion

    Disciplines

    • Physics
    • Artificial Intelligence and Robotics

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