Search results
- Name
- Camino
- Byline
- Department of Computer Science, University College London
- Description
-
Camino is a free, open-source, object-oriented software package for analysis and reconstruction of Diffusion MRI data.
Some of Camino's features are:
- Fitting the Diffusion Tensor to diffusion-weighted MRI data.
- Fitting 2 and 3-tensor models.
- Generating synthetic data for testing.
- Advanced reconstruction algorithms including RESTORE, q-ball, and maximum-entropy spherical deconvolution (including PAS-MRI).
- Deterministic and probabilistic tractography (PICo), including:
- Models of uncertainty for one-tensor and two-tensor data.
- Multiple-ROI processing.
- Output connection probability maps, or save streamlines in raw binary or OOGL (GeomView) format.
- Full documentation via
- Unix man pages
- A variety of case studies illustrating common tasks
- Standard javadoc for the source code.
- NIfTI-1 support
- Creator
- P. A. Cook, Y. Bai, S. Nedjati-Gilani, K. K. Seunarine, M. G. Hall, G. J. Parker, D. C. Alexander
- Contact
- S.Nedjati-Gilani@cs.ucl.ac.uk
- WWW
- http://www.cs.ucl.ac.uk/research/medic/camino/
- Availability
- How to get
- Go to the Camino homepage http://www.cs.ucl.ac.uk/research/medic/camino/ and click the 'Download' link
- Current version
- Current version release date
- Open source
- Yes
- License
- Available free of charge
- Yes
- Requirements
- Technical publications
- The citation for Camino is: P. A. Cook, Y. Bai, S. Nedjati-Gilani, K. K. Seunarine, M. G. Hall, G. J. Parker, D. C. Alexander, "Camino: Open-Source Diffusion-MRI Reconstruction and Processing", 14th Scientific Meeting of the International Society for Magnetic Resonance in Medicine, Seattle, WA, USA, p. 2759, May 2006. If you use sets of gradient directions provided with Camino, please cite: P A Cook, M Symms, P A Boulby, D C Alexander, "Optimal acquisition orders of diffusion-weighted MRI measurements", Journal of Magnetic Resonance Imaging (in press). While the journal article is in press, you may find more details of the ordering algorithm in: P A Cook, M R Symms, P A Boulby, D C Alexander, "Ordering diffusion-weighted MRI measurements improves results from partially completed scans", 14th Scientific Meeting of the International Society for Magnetic Resonance in Medicine, Seattle, WA, USA, May 2006, p. 1035
- Applications publications
- Other information
- Keywords
- diffusion
- Platforms
- Java, Linux, MacOS, UNIX, Windows
- IATR listing last updated
- 04 Oct 2006
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