Reduction of noise in diffusion tensor images using anisotropic smoothing
نویسندگان
چکیده
منابع مشابه
Spatial Normalization of Diffusion Tensor Images Based on Anisotropic Segmentation
A comprehensive framework is proposed for the spatial normalization of diffusion tensor (DT) brain images using tensor-derived tissue attributes. In this framework, the brain tissues are first classified into three categories: the white matter (WM), the gray matter (GM), and the cerebral-spinal fluid (CSF) using the anisotropy and diffusivity information derived from the full tensor. The tissue...
متن کاملKnowledge-based tensor anisotropic diffusion of cardiac magnetic resonance images
We present a general formulation for a new knowledge-based approach to anisotropic diffusion of multi-valued and multi-dimensional images, with an illustrative application for the enhancement and segmentation of cardiac magnetic resonance (MR) images. In the proposed method all available information is incorporated through a new definition of the conductance function which differs from previous...
متن کاملSNR Controlled Anisotropic Diffusion for Rician Noise Reduction in MR Images
To alleviate excessive smoothing of high signal-to-noise ratio (SNR) regions which are correspond to the structural features of MR images by using classical anisotropic diffusion (AD) filter. A novel AD filter called SNR controlled anisotropic diffusion is proposed. In this filter, an adaptive diffusivity function which is based on the correction factor of MR images was constructed. This adapti...
متن کاملNoise reduction of diffusion tensor images by sparse representation and dictionary learning
BACKGROUND The low quality of diffusion tensor image (DTI) could affect the accuracy of oncology diagnosis. METHODS We present a novel sparse representation based denoising method for three dimensional DTI by learning adaptive dictionary with the context redundancy between neighbor slices. In this study, the context redundancy among the adjacent slices of the diffusion weighted imaging volume...
متن کاملNoise Reduction in Diffusion Tensor Imaging – Reducing Systematic Anisotropy Errors
Introduction Diffusion tensor imaging (DTI) allows the investigation of diffusion differences between structures in vivo. For example, measurements of diffusion anisotropy delineate fibre tracts in the white matter of normal individuals and provide a means for investigating disruptions, such as those caused by multiple sclerosis or stroke. However, DTI measurements are sensitive to noise levels...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Magnetic Resonance in Medicine
سال: 2005
ISSN: 0740-3194,1522-2594
DOI: 10.1002/mrm.20339