Title :
An MRI imaging sequence based on reconstruction by orthogonal polynomials
Author :
Hawkins, William Grant
Abstract :
This MRI sequence is based on a spin echo radial sequence. The radial gradient is an arcsine shape rather than a linear gradient. The resulting phase evolution leads to a nonlinear Fourier transform of the magnetic dipole density. Elementary signal processing operations on the FID signal result in input to the circular harmonic transform reconstruction algorithm based on Zernike polynomial/Chebyshev polynomial orthogonal function pairs. Simulations of the signal processing operations confirm the feasibility of the imaging sequence. Difficulties associated with interpolation and gridding are avoided in the reconstruction process. An existing CHT reconstruction algorithm allows for the direct reconstruction of radial sequence data. This algorithm has proven robustness and has lower computational complexity than filtered backprojection. Concerns about the unstable nature of the exterior CHT transform have proven to be groundless. There are other practical concerns about the implementation of the imaging sequence. The fast rise of the gradient at the edge of the field of view makes it difficult to implement, more so than linear gradients. So there is no practical application at present.
Keywords :
Fourier transforms; biomedical MRI; image reconstruction; interpolation; phantoms; CHT reconstruction algorithm; Chebyshev polynomial orthogonal function; FID signal result; MRI imaging sequence; Shepp-Logan phantom; Zernike polynomial; arcsine shaped radial gradient; circular harmonic transform reconstruction algorithm; computational complexity; elementary signal processing operation; exterior CHT transform; field of view; filtered backprojection; gridding; interpolation; linear gradient; magnetic dipole density; nonlinear Fourier transform; phase evolution; radial sequence data reconstruction; spin echo radial sequence; Chebyshev approximation; Fourier transforms; Image reconstruction; Magnetic resonance imaging; Polynomials; Power harmonic filters; Reconstruction algorithms; Shape; Signal processing; Signal processing algorithms;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2003 IEEE
Print_ISBN :
0-7803-8257-9
DOI :
10.1109/NSSMIC.2003.1352449