Gradient Non-Linearity Correction of MR Images for Functional Radiosurgery

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 th...

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Bibliographic Details
Published in5th 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) pp. 338 - 344
Main Authors Lee, T.S., Schubert, K.E., Schulte, R.W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Biomedical
Biomedical imaging
Boring
Computer science
image processing
Imaging phantoms
Magnetic fields
Magnetic resonance imaging
Nonlinear distortion
Particle beams
Protons
Software systems
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Summary: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
ISBN:9780769526133
0769526136
DOI:10.1109/ICIS-COMSAR.2006.43