MRI denoising using enhanced homogeneous similarity and rotational invariance
CHEN Chuang-quan
FANG Shao-mei
Abstract：In this paper, a novel method based on the three-dimensional non-local means (NLM3D)filter is presented to improve the denoising results of three-dimensional magnetic resonance images. Taking rotational invariance and homogeneity similarity into consideration, we build the filter by integrating voxel intensity, and the mean, average of gradient(AG)and region homogeneity(RH) of the corresponding local patch. In this way, the structure information of the patches such as edges, corners and ends can be preserved well. The presented method has been compared with the related state-of-the-art methods over synthetic datasets and the experimental results show that the proposed approach outperforms other methods, and removes noise successfully while preserving details of the images. Finally, we apply our method on the OASIS database.
Keywords：three-dimensional denoisingmagnetic resonance imaginghomogeneityrotational invariancenon-local means
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 14-21 )