Reducción de ruido en señales de espectroscopia en resonancia magnética con transformada wavelets COINFLET y BIORTHOGONAL

Abstract

This paper presents the application of the Coinflet Wavelet Transform and the Biorthogonal wavelet family for noise reduction in magnetic resonance images used in non-invasive medical processes. The measured signals with noise are processed by a noise cleaning algorithm in Matlab; then the signals are converted to the frequency domain where they are processed Compressed and cleaned from Noisy source. The wavelet transform is a technique used to manipulate, analyze and compress signals more efficiently in magnetic resonance imaging (MRI) noise reduction applications, which can often be affected by Gaussian noise from different sources, such Gaussian noise is difficult to clean because of the amount of information to be processed in diagnostics from ligament ruptures to tumors.