Share Email Print
cover

Proceedings Paper

A wavelet-transform-based preprocessing algorithm for MRI signal
Author(s): Wenyu Pan; Hai Luo; Heqin Zhou
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In the low-field medical magnetic resonance imaging (MRI) system, the original digital MR signal is generated with high sampling rate and a large amount of noise. In this paper, we propose a wavelet transform-based preprocessing algorithm for this MR signal, in order to eliminate the noise, reduce the sampling rate and compress the memory of data. We select Daubechies filter as our decomposition filter and perform multi-level wavelet decomposition on the MR signal. The scaling function coefficients are obtained at the levels of decomposition, and taken as the low-frequency signal component. So that fast filtering and multistage decimation without spectrum-aliasing are realized. The experiment based on the permanent magnetism resonance imaging system proves the efficiency and practicability of this algorithm.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749720 (30 October 2009); doi: 10.1117/12.832538
Show Author Affiliations
Wenyu Pan, Univ. of Science and Technology of China (China)
Hai Luo, Univ. of Science and Technology of China (China)
Heqin Zhou, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top