Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6950951 | Biomedical Signal Processing and Control | 2018 | 10 Pages |
Abstract
Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) provides information about the local microstructure of the white matter across different voxels; this information can be used to visualize large-scale organization of the brain. Most of previously published diffusion magnetic resonance imaging reconstruction methods are linked to their own track integration method. In this work, we have formulated a general, deterministic tractography algorithm (CIERTE), which is a combination of Improved Euler and Range-Kutta fourth-order algorithm using tracking Error which works with voxel level information about fiber orientations including multiple crossings, and employs a range of stopping criteria as those described in EuDX algorithm and FACT. Our CIERTE tractography algorithm is tested on synthetic and real data, fully evaluated using seven metrics of the tractometer evaluation system and positively compared to state-of-the-art tractography algorithms.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Dalila Cherifi, Messaoud Boudjada, Abdelatif Morsli, Gabriel Girard, Rachid Deriche,