High angular resolution diffusion MRI
Abstract/Contents
- Abstract
- MRI data were collected at the Center for Cognitive and Neurobiological Imaging at Stanford University. A dual spin echo diffusion-weighted sequence was used. In each scan MR images were acquired for 150 different directions of diffusion weighting, determined by an electro-static repulsion algorithm (Jones, Horsfield, & Simmons, 1999). A b value of 2000 s/mm2 was used. 10 non-diffusion weighted images (b=0) were acquired at the beginning of the scan. MR images were motion corrected to the average b0 image in each scan, using a rigid body alignment algorithm implemented in SPM (Ashburner and Friston, 2003). Because of the long duration between the RF excitation and image acquisition in the dual-spin echo sequence used, eddy current correction was not applied. Pre-processing was implemented in Matlab as part of the mrVista software distribution (Dougherty, Ben-Shachar, Bammer, Brewer, & Wandell, 2005), which can be downloaded at http://github.com/vistalab/vistasoft).
Description
Type of resource | software, multimedia |
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Date created | 2013 |
Creators/Contributors
Author | Rokem, Ariel | |
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Author | Yeatman, Jason | |
Author | Pestilli, Franco | |
Author | Wandell, Brian |
Subjects
Subject | MRI |
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Subject | diffusion imaging |
Subject | human |
Genre | Dataset |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under an Open Data Commons Public Domain Dedication & License 1.0.
Preferred citation
- Preferred Citation
- Rokem, Ariel and Yeatman, Jason and Pestilli, Franco and Wandell, Brian. (2013). High angular resolution diffusion MRI. Stanford Digital Repository. Available at: http://purl.stanford.edu/yx282xq2090
Collection
Stanford Research Data
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- Contact
- arokem@stanford.edu
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