The empirical origin of random noise is described, its influence on DTI variables is illustrated by a review of numerical and in vivo studies supplemented by new simulations investigating high noise levels. A stochastic model of noise propagation is presented to structure noise impact in DTI. Finally, basics of voxelwise and spatial denoising procedures are presented. Recent denoising procedures are reviewed and consequences of the stochastic model for convenient denoising strategies are discussed
journal articleThe presence of Rician noise in magnetic resonance imaging (MRI) introduces systemati...
Compared with conventional MRI, diffusion tensor imaging (DTI) is more prone to thermal noise and mo...
This report summarizes the work I did within the Odyssée research group, in INRIA Sophia-Antipolis, ...
The empirical origin of random noise is described, its influence on DTI variables is illustrated by ...
Summary. The empirical origin of random noise is described, its influence on DTI variables is illust...
Diffusion Tensor Imaging (DTI) is a magnetic resonance technique which enables the in vivo visualisa...
Low signal to noise ratio (SNR) experiments in diffusion tensor imaging (DTI) give key information a...
Though low signal to noise ratio (SNR) experiments in DTI give key information about tracking and an...
Noise is known to be one of the main sources of quality deterioration in magnetic resonance (MR) dat...
A denoising method for Diffusion Tensor Imaging is proposed, with the aim to reduce the presently us...
Optimal interpretation of magnetic resonance image content often requires an estimate of the underly...
measurement of the effective diffusion tensor and the structure information extraction in vivo. It i...
Magnetic resonance images tend to be influenced by various random factors usually referred to as "no...
Abstract: Though low signal to noise ratio (SNR) experiments in DTI give key information about track...
Diffusion tensor imaging is widely used in research and clinical applications, but this modality is ...
journal articleThe presence of Rician noise in magnetic resonance imaging (MRI) introduces systemati...
Compared with conventional MRI, diffusion tensor imaging (DTI) is more prone to thermal noise and mo...
This report summarizes the work I did within the Odyssée research group, in INRIA Sophia-Antipolis, ...
The empirical origin of random noise is described, its influence on DTI variables is illustrated by ...
Summary. The empirical origin of random noise is described, its influence on DTI variables is illust...
Diffusion Tensor Imaging (DTI) is a magnetic resonance technique which enables the in vivo visualisa...
Low signal to noise ratio (SNR) experiments in diffusion tensor imaging (DTI) give key information a...
Though low signal to noise ratio (SNR) experiments in DTI give key information about tracking and an...
Noise is known to be one of the main sources of quality deterioration in magnetic resonance (MR) dat...
A denoising method for Diffusion Tensor Imaging is proposed, with the aim to reduce the presently us...
Optimal interpretation of magnetic resonance image content often requires an estimate of the underly...
measurement of the effective diffusion tensor and the structure information extraction in vivo. It i...
Magnetic resonance images tend to be influenced by various random factors usually referred to as "no...
Abstract: Though low signal to noise ratio (SNR) experiments in DTI give key information about track...
Diffusion tensor imaging is widely used in research and clinical applications, but this modality is ...
journal articleThe presence of Rician noise in magnetic resonance imaging (MRI) introduces systemati...
Compared with conventional MRI, diffusion tensor imaging (DTI) is more prone to thermal noise and mo...
This report summarizes the work I did within the Odyssée research group, in INRIA Sophia-Antipolis, ...