Journal article
Evaluation of the GTRACT diffusion tensor tractography algorithm: A validation and reliability study
NeuroImage (Orlando, Fla.), Vol.31(3), pp.1075-1085
2006
DOI: 10.1016/j.neuroimage.2006.01.028
PMID: 16631385
Abstract
Fiber tracking, based on diffusion tensor imaging (DTI), is the only approach available to non-invasively study the three-dimensional structure of white matter tracts. Two major obstacles to this technique are partial volume artifacts and tracking errors caused by image noise. In this paper, a novel fiber tracking algorithm called Guided Tensor Restore Anatomical Connectivity Tractography (GTRACT) is presented. This algorithm utilizes a multi-pass approach to fiber tracking. In the first pass, a 3D graph search algorithm is utilized. The second pass incorporates anatomical connectivity information generated in the first pass to guide the tracking in this stage. This approach improves the ability to reconstruct complex fiber paths as well as the tracking accuracy. Validation and reliability studies using this algorithm were performed on both synthetic phantom data and clinical human brain data. A method is also proposed for the evaluating reliability of fiber tract generation based both on the position of the fiber tracts, as well the anisotropy values along the path. The results demonstrate that the GTRACT algorithm is less sensitive to image noise and more capable of handling areas of complex fiber crossing, compared to conventional streamline methods.
Details
- Title: Subtitle
- Evaluation of the GTRACT diffusion tensor tractography algorithm: A validation and reliability study
- Creators
- Peng Cheng - Department of Radiology, Georgetown University, Washington, DC 20007, USAVincent A Magnotta - Department of Radiology, The University of Iowa, 0453-D JCP, 200 Hawkins Drive, Iowa City, IA 52242, USADee Wu - Department of Radiological Sciences, University of Oklahoma Health Center, Oklahoma City, OK 73104, USAPeg Nopoulos - Department of Psychiatry, The University of Iowa, Iowa City, IA 52242, USADavid J Moser - Department of Psychiatry, The University of Iowa, Iowa City, IA 52242, USAJane Paulsen - Department of Psychiatry, The University of Iowa, Iowa City, IA 52242, USARicardo Jorge - Department of Psychiatry, The University of Iowa, Iowa City, IA 52242, USANancy C Andreasen - Department of Psychiatry, The University of Iowa, Iowa City, IA 52242, USA
- Resource Type
- Journal article
- Publication Details
- NeuroImage (Orlando, Fla.), Vol.31(3), pp.1075-1085
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.neuroimage.2006.01.028
- PMID
- 16631385
- ISSN
- 1053-8119
- eISSN
- 1095-9572
- Language
- English
- Date published
- 2006
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Neurology; Radiology; Psychiatry; Stead Family Department of Pediatrics; Psychological and Brain Sciences; Iowa Neuroscience Institute; Medicine Administration
- Record Identifier
- 9984003997102771
Metrics
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