Paper
2 May 1997 Matching pursuit data acquisition in magnetic resonance imaging
Yong Man Ro, Ralph A. Neff, Avideh Zakhor
Author Affiliations +
Abstract
The matching pursuit (MP) algorithm developed by S. Mallat and Z. Zhang is applied to magnetic resonance (MR) imaging. Since matching pursuit is a greedy algorithm to find waveforms which are the best match for an object-signal, the signal can be decomposed with a few iterations. In this paper, we propose an application of the MP algorithm to the MR imaging to reduce imaging time. Inner products of residual signals and selected waveforms in the MP algorithm are derived from the MR signals by excitation of RF pulses which are Fourier transforms of selected waveforms. Results from computer simulations demonstrate that the imaging time is reduced by using the MP algorithm and further a progressive reconstruction can be achieved.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yong Man Ro, Ralph A. Neff, and Avideh Zakhor "Matching pursuit data acquisition in magnetic resonance imaging", Proc. SPIE 3032, Medical Imaging 1997: Physics of Medical Imaging, (2 May 1997); https://doi.org/10.1117/12.274025
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Cited by 1 scholarly publication.
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KEYWORDS
Magnetic resonance imaging

Wavelets

Associative arrays

Reconstruction algorithms

Computer programming

Fourier transforms

Wavelet transforms

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