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18th International Conference on Pattern Recognition (ICPR'06) Volume 3
Subpixel Alignment of MRI Data Under Cartesian and Log-Polar Sampling
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Murat Balci, University of Central Florida, Orlando, FL 32816-2362, USA
Mais Alnasser, University of Central Florida, Orlando, FL 32816-2362, USA
Hassan Foroosh, University of Central Florida, Orlando, FL 32816-2362, USA
Magnetic resonance imaging (MRI) allows numerous Fourier domain sampling schemes such as Cartesian and non-Cartesian trajectories (e.g. Polar, circular, and spherical). On the other hand, it provides directly the Fourier spectrum of the field of view (FOV) in the corresponding sampling scheme. Motivated by these characteristic features of MRI, we have developed a new scheme for direct Fourier domain registration of MRI data based on the phase difference matrix. We derive the exact relationship between the continuous and the discrete Fourier phase-difference for Cartesian or polar sampling schemes, and demonstrate that in each case the discrete phase diffence is a 2D sawtooth signal. Subpixel alignment under rotation, translation and scale variation is then established simply by counting the number of cycles of the sawtooth signal. The problem is formulated as an over-determined system of equations, and is solved by imposing a regularity constraint, using the method of Generalized Cross Validation (GCV).
Citation:
Murat Balci, Mais Alnasser, Hassan Foroosh, "Subpixel Alignment of MRI Data Under Cartesian and Log-Polar Sampling," icpr, vol. 3, pp.607-610, 18th International Conference on Pattern Recognition (ICPR'06) Volume 3, 2006
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