This paper is devoted to the development of noise reduction methods for spatial-temporal signals with applications in magnetic resonance imaging. A noise reduction algorithm for 4D MRI signals, based on thewavelet transform and Gaussian scale mixtures, is proposed here. Simulation study shows that the new method is capable to improve theperformance of noise reduction in higher dimensions.