Spike Noise Removal for Magnetic Resonance Imaging Based on the Information in the Background Region

Chinese Journal of Magnetic Resonance ›› 2012, Vol. 29 ›› Issue (4): 537-545.

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Spike Noise Removal for Magnetic Resonance Imaging Based on the Information in the Background Region

CHEN Hua-Li¹, ZHANG Cheng-Xiu², XI Wei², JIANG Xiao-Ping², YANG Guang^1*

1. Shanghai key Laboratory of Magnetic Resonance, Department of Physics, East China Normal University, Shanghai 200062, China;
2. Shanghai COLORFUL Magnetic Resonance Technology Corporation Limited, Shanghai 201614, China

Received:2012-03-09 Revised:2012-05-08 Online:2012-12-05 Published:2012-12-05
Supported by:
上海市科委资助项目（08DZ1900700），上海市磁共振重点实验室开放基金资助项目.

Abstract

Abstract:

In magnetic resonance imaging, spike noise in the K-space will degrade the quality of the reconstructed images severely. We proposed a new approach to locate and remove spike noises based on the information in the background region. Firstly, one-dimensional discrete Fourier transform (DFT) is applied to K-space data along the k_xand k_y direction respectively to acquire two half transformed datasets. Then background in these two datasets are extracted and analyzed to locate and remove the spike noise. By experiments on simulated and real data, the proposed approach was proven to be able to remove certain kinds of spike noises effectively. Compared with the previous algorithms, this approach has the unique advantage in that it can deal with the cases in which consecutive rows of K-space data are contaminated with spike noises.

Key words: MRI, spike noise, Fourier transform, image artifacts

CLC Number:

O482.53

CHEN Hua-Li, ZHANG Cheng-Xiu, XI Wei, JIANG Xiao-Ping, YANG Guang. Spike Noise Removal for Magnetic Resonance Imaging Based on the Information in the Background Region[J]. Chinese Journal of Magnetic Resonance, 2012, 29(4): 537-545.

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Spike Noise Removal for Magnetic Resonance Imaging Based on the Information in the Background Region

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