Journal ArticleDOI
Measurement of signal intensities in the presence of noise in MR images
TLDR
This report describes how to extract true intensity measurements in the presence of noise in magnetic resonance imaging.Abstract:
Power spectrum or magnitude images are frequently presented in magnetic resonance imaging. In such images, measurement of signal intensity at low signal levels is compounded with the noise. This report describes how to extract true intensity measurements in the presence of noise.read more
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Journal ArticleDOI
In vivo fiber tractography using DT-MRI data
TL;DR: Fiber tract trajectories in coherently organized brain white matter pathways were computed from in vivo diffusion tensor magnetic resonance imaging (DT‐MRI) data, and the method holds promise for elucidating architectural features in other fibrous tissues and ordered media.
Journal ArticleDOI
Toward a quantitative assessment of diffusion anisotropy
Carlo Pierpaoli,Peter J. Basser +1 more
TL;DR: New indices calculated from the entire diffusion tensor are rotationally invariant (RI) and show that anisotropy is highly variable in different white matter regions depending on the degree of coherence of fiber tract directions.
Journal ArticleDOI
The rician distribution of noisy mri data
Hakon Gudbjartsson,Samuel Patz +1 more
TL;DR: The image intensity in magnetic resonance magnitude images in the presence of noise is shown to be governed by a Rician distribution and low signal intensities (SNR < 2) are therefore biased due to the noise.
Diffusion Tensor MR Imaging ofthe Human Brain
TL;DR: A quantitative characterization of water diffusion in anisotropic, heterogeneously oriented tissues is clinically feasible and should improve the neuroradiologic assessment of a variety of gray and white matter disorders.
Journal ArticleDOI
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
TL;DR: The physics of DW-MRI is reviewed, currently preferred methodology is indicated, and the limits of interpretation of its results are explained, with a list of 'Do's and Don'ts' which define good practice in this expanding area of imaging neuroscience.