## 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
Unified framework for anisotropic interpolation and smoothing of diffusion tensor images
β Scribed by Arabinda Mishra; Yonggang Lu; Jingjing Meng; Adam W. Anderson; Zhaohua Ding
- Book ID
- 118489845
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 683 KB
- Volume
- 31
- Category
- Article
- ISSN
- 1053-8119
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Tractography algorithms for diffusion tensor (DT) images consecutively connect directions of maximal diffusion across neighboring DTs in order to reconstruct the 3-dimensional trajectories of white matter tracts in vivo in the human brain. The performance of these algorithms, however, is strongly in
## Abstract ## Purpose: To compare the effects of anisotropic and Gaussian smoothing on the outcomes of diffusion tensor imaging (DTI) voxelβbased (VB) analyses in the clinic, in terms of signalβtoβnoise ratio (SNR) enhancement and directional information and boundary structures preservation. ##