Noise filtering of images is essentially a smoothing process and it is an issue that has been addressed for many years. The most commonly used low-pass filtering methods blur important image structures such as edges and lines thus reducing the image contrast and damaging image fidelity. The paper presents a structure adaptive anisotropic filtering method with its application to processing multidimensional magnetic resonance images.