Reduction of noise in diffusion tensor images using anisotropic smoothing
- 27 January 2005
- journal article
- research article
- Published by Wiley in Magnetic Resonance in Medicine
- Vol. 53 (2), 485-490
- https://doi.org/10.1002/mrm.20339
Abstract
To improve the accuracy of tissue structural and architectural characterization with diffusion tensor imaging, a novel smoothing technique is developed for reducing noise in diffusion tensor images. The technique extends the traditional anisotropic diffusion filtering method by allowing isotropic smoothing within homogeneous regions and anisotropic smoothing along structure boundaries. This is particularly useful for smoothing diffusion tensor images in which direction information contained in the tensor needs to be restored following noise corruption and preserved around tissue boundaries. The effectiveness of this technique is quantitatively studied with experiments on simulated and human in vivo diffusion tensor data. Illustrative results demonstrate that the anisotropic smoothing technique developed can significantly reduce the impact of noise on the direction as well as anisotropy measures of the diffusion tensor images. Magn Reson Med 53:485–490, 2005.Keywords
This publication has 12 references indexed in Scilit:
- A Constrained Variational Principle for Direct Estimation and Smoothing of the Diffusion Tensor Field from DWILecture Notes in Computer Science, 2003
- Improved white matter fiber tracking using stochastic labelingMagnetic Resonance in Medicine, 2002
- Processing and visualization for diffusion tensor MRIMedical Image Analysis, 2002
- A Continuous Tensor Field Approximation of Discrete DT-MRI Data for Extracting Microstructural and Architectural Features of TissueJournal of Magnetic Resonance, 2002
- Theoretical analysis of the effects of noise on diffusion tensor imagingMagnetic Resonance in Medicine, 2001
- A Regularization Scheme for Diffusion Tensor Magnetic Resonance ImagesLecture Notes in Computer Science, 2001
- Diffusion tensor imaging: Concepts and applicationsJournal of Magnetic Resonance Imaging, 2001
- Regularization of Diffusion-Based Direction Maps for the Tracking of Brain White Matter FasciclesNeuroImage, 2000
- Nonlinear smoothing for reduction of systematic and random errors in diffusion tensor imagingJournal of Magnetic Resonance Imaging, 2000
- Scale-space and edge detection using anisotropic diffusionIeee Transactions On Pattern Analysis and Machine Intelligence, 1990