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Proceedings Paper

Matching pursuit data acquisition in magnetic resonance imaging
Author(s): Yong Man Ro; Ralph A. Neff; Avideh Zakhor
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Paper 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.

Paper Details

Date Published: 2 May 1997
PDF: 11 pages
Proc. SPIE 3032, Medical Imaging 1997: Physics of Medical Imaging, (2 May 1997); doi: 10.1117/12.274025
Show Author Affiliations
Yong Man Ro, Univ. of California/Berkeley and Taejon Univ. (Korea) (South Korea)
Ralph A. Neff, Univ. of California/Berkeley (United States)
Avideh Zakhor, Univ. of California/Berkeley (United States)

Published in SPIE Proceedings Vol. 3032:
Medical Imaging 1997: Physics of Medical Imaging
Richard L. Van Metter; Jacob Beutel, Editor(s)

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