Application of autoregressive modelling in magnetic resonance imaging to remove noise and truncation artifacts-Reference-Cited by-同舟云学术

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Application of autoregressive modelling in magnetic resonance imaging to remove noise and truncation artifacts

Published:1986-01 Issue:3 Volume:4 Page:257-261
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Smith M.R.,Nichols S.T.,Henkelman R.M.,Wood M.L.

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Biophysics

Reference11 articles.

1. NMR Fourier Zeug matography;Kumar;Journal of Magnetic Resonance,1975

2. Truncation artifacts in magnetic resonance imaging;Wood;Journal of Magnetic Resonance in Medicine,1985

3. Application of ARMA modeling to multi component signals;Nichols,1985

4. On the use of windows for harmonic analysis with the discrete Fourier transform;Harris,1978

5. maximum entropy signal processing in practical NMR spectroscopy;Sibiski;Nature,1984

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