Diffusion tensor based global tractography of human brain fiber bundles
- Resource Type
- Conference
- Authors
- Chowdhury, Fahmida K.; Jacobs, Eddie; Hossen, Jakir; Salan, Teddy
- Source
- 8th International Conference on Electrical and Computer Engineering Electrical and Computer Engineering (ICECE), 2014 International Conference on. :5-8 Dec, 2014
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Diffusion tensor imaging
Image reconstruction
Tensile stress
Probabilistic logic
Computational modeling
Ellipsoids
Tractography
diffusion tensor imaging
white matter
gradient directions
- Language
Tractography is a non-invasive process for reconstruction, modelling and visualization of neural fibers in the white matter (WM) of the human brain. It has emerged as a major breakthrough for neuroscience research due to its usefulness in clinical applications. In this research, we have investigated deterministic and probabilistic tractography approaches. We have evaluated the performance of different approaches on fiber bundle tracking using diffusion tensor imaging (DTI) data having multiple gradient directions. Experimental results show that global tractography is best for reconstruction of kissing and crossing fibers compared to deterministic tractography. We have also shown that DTI acquisition with a higher number of gradient directions provides better tracking results given limitations of acquisition and computation time.