Abstract

A versatile resource program was developed for diffusion tensor image (DTI) computation and fiber tracking. The software can read data formats from a variety of MR scanners. Tensor calculation is performed by solving an over-determined linear equation system using least square fitting. Various types of map data, such as tensor elements, eigenvalues, eigenvectors, diffusion anisotropy, diffusion constants, and color-coded orientations can be calculated. The results are visualized interactively in orthogonal views and in three-dimensional mode. Three-dimensional tract reconstruction is based on the Fiber Assignment by Continuous Tracking (FACT) algorithm and a brute-force reconstruction approach. To improve the time and memory efficiency, a rapid algorithm to perform the FACT is adopted. An index matrix for the fiber data is introduced to facilitate various types of fiber bundles selection based on approaches employing multiple regions of interest (ROIs). The program is developed using C++ and OpenGL on a Windows platform.

Keywords

Diffusion MRIComputer scienceTensor (intrinsic definition)ComputationEigenvalues and eigenvectorsFiberFiber bundleSoftwareAlgorithmOpenGLArtificial intelligenceTheoretical computer scienceComputer visionMathematicsVisualizationGeometry

MeSH Terms

AlgorithmsDiffusion Magnetic Resonance ImagingHumansImage ProcessingComputer-AssistedMedial Forebrain BundleModelsStatisticalSoftwareUnited States

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Publication Info

Year
2006
Type
article
Volume
81
Issue
2
Pages
106-116
Citations
996
Access
Closed

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996
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79
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847
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Cite This

Hangyi Jiang, Peter C.M. van Zijl, Jinsuh Kim et al. (2006). DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking. Computer Methods and Programs in Biomedicine , 81 (2) , 106-116. https://doi.org/10.1016/j.cmpb.2005.08.004

Identifiers

DOI
10.1016/j.cmpb.2005.08.004
PMID
16413083

Data Quality

Data completeness: 86%