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adaptive fourier threshold filtering: A method to reduce noise and incoherent artifacts in high resolution cardiac images
Author(s) -
Doyle M.,
Chapman B. L. W.,
Blackwell G.,
Walsh E. G.,
Pohost G. M.
Publication year - 1994
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910310512
Subject(s) - thresholding , noise (video) , fourier transform , noise reduction , artificial intelligence , computer science , median filter , value noise , transformation (genetics) , white noise , gaussian noise , image processing , computer vision , energy (signal processing) , filter (signal processing) , image noise , fourier analysis , salt and pepper noise , mathematics , image (mathematics) , statistics , telecommunications , mathematical analysis , biochemistry , chemistry , gene
We introduce an image processing method which reduces white noise and random artifacts in sets of high resolution, time resolved images. At each pixel, the processing consists of: (1) the isolation of a time intensity curve (TIC), (2) Fourier transformation of each TIC, (3) application of a threshold to remove low intensity coefficients, (4) inverse transformation to generate noise reduced TICS which are recombined to form images with improved signal‐to‐noise ratio (SNR). Noise filtering by Fourier thresholding is demonstrated on a set of cardiac images, resulting in a reduction of the noise energy by approximately 90%.