Title :
Gradient Non-Linearity Correction of MR Images for Functional Radiosurgery
Author :
Lee, Tom S. ; Schubert, Keith E. ; Schulte, Reinhard W.
Author_Institution :
Dept. of Comput. Sci., California State Univ., San Bernardino, CA
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
Keywords :
biomedical MRI; least mean squares methods; medical image processing; nonlinear distortion; phantoms; radiation therapy; MR images; functional radiosurgery; gradient nonlinearity correction; least squares techniques; magnetic field; magnetic resonance imaging; nonlinear distortion correction parameters; phantom; spherical harmonics; Biomedical imaging; Boring; Computer science; Imaging phantoms; Magnetic fields; Magnetic resonance imaging; Nonlinear distortion; Particle beams; Protons; Software systems; Biomedical; Magnetic resonance imaging; Nonlinear distortion; image processing;
Conference_Titel :
Computer and Information Science, 2006 and 2006 1st IEEE/ACIS International Workshop on Component-Based Software Engineering, Software Architecture and Reuse. ICIS-COMSAR 2006. 5th IEEE/ACIS International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7695-2613-6
DOI :
10.1109/ICIS-COMSAR.2006.43