Wavelet-based Rayleigh background removal in MRI

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Wavelet-based Rayleigh background removal in MRI

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Published

Rayleigh distribution governs noise in ‘no signal’ regions of magnetic resonance magnitude images. Large areas of background noise in MRI images will seriously affect their effective utilisation. A new wavelet-based algorithm is presented that can work efficiently either as a standalone procedure or couple with existing denoising algorithms to significantly improve their effectiveness.

Inspec keywords: biomedical MRI; discrete wavelet transforms; medical image processing; image denoising; random noise

Other keywords: MRI; denoising algorithms; discrete wavelet transform; two-dimensional DWT; background noise; Rayleigh distribution; magnetic resonance magnitude images; wavelet-based Rayleigh background removal; no signal regions; standalone procedure

Subjects: Biomedical magnetic resonance imaging and spectroscopy; Medical magnetic resonance imaging and spectroscopy; Function theory, analysis; Computer vision and image processing techniques; Biology and medical computing; Optical, image and video signal processing; Integral transforms; Patient diagnostic methods and instrumentation; Integral transforms

References

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      • H. Gudbjartsson , S. Patz . The Rician distribution of noisy MRI data. Magn. Reson. Med. , 910 - 914
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http://iet.metastore.ingenta.com/content/journals/10.1049/el_20030396
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