TY - GEN
T1 - Feature extraction of brain MRI by stationary wavelet transform
AU - Zhang, Yudong
AU - Dong, Zhengchao
AU - Wu, Lenan
AU - Wang, Shuihua
AU - Zhou, Zhenyu
PY - 2010
Y1 - 2010
N2 - Wavelet transform is widely used in feature extraction of magnetic resonance imaging. However, the traditional discrete wavelet transform (DWT) suffers from translation variant property, which may extract significantly different features from two images of the same subject with only slight movement. In order to solve this problem, this paper utilizes stationary wavelet transform (SWT) to extract features instead of DWT. Experiments on a normal brain MRI demonstrate that wavelet coefficients via SWT is superior to that via DWT concerning translation invariant property.
AB - Wavelet transform is widely used in feature extraction of magnetic resonance imaging. However, the traditional discrete wavelet transform (DWT) suffers from translation variant property, which may extract significantly different features from two images of the same subject with only slight movement. In order to solve this problem, this paper utilizes stationary wavelet transform (SWT) to extract features instead of DWT. Experiments on a normal brain MRI demonstrate that wavelet coefficients via SWT is superior to that via DWT concerning translation invariant property.
KW - Discrete wavelet transform
KW - Feature extraction
KW - Magnetic resonance imaging
KW - Stationary wavelet transform
KW - Translation invariance
UR - http://www.scopus.com/inward/record.url?scp=77953313812&partnerID=8YFLogxK
U2 - 10.1109/ICBECS.2010.5462491
DO - 10.1109/ICBECS.2010.5462491
M3 - Conference Proceeding
AN - SCOPUS:77953313812
SN - 9781424453153
T3 - 2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
BT - 2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
T2 - 2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010
Y2 - 23 April 2010 through 25 April 2010
ER -