Doyle M, Chapman B L, Blackwell G, Walsh E G, Pohost G M
Department of Medicine, University of Alabama at Birmingham 35294.
Magn Reson Med. 1994 May;31(5):546-50. doi: 10.1002/mrm.1910310512.
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%.
