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Merge pull request #1268 from EmmaRenauld/fix_links
Fix links
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src/scilpy/cli/scil_connectivity_graph_measures.py

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path_length, edge_count, omega, sigma
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For more details about the measures, please refer to
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- https://sites.google.com/site/bctnet/measures
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- https://sites.google.com/site/bctnet/
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- https://github.com/aestrivex/bctpy/wiki
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This script is under the GNU GPLv3 license, for more detail please refer to

src/scilpy/cli/scil_dki_metrics.py

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# -*- coding: utf-8 -*-
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"""
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Script to compute the Diffusion Kurtosis Imaging (DKI) and Mean Signal DKI
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(MSDKI) metrics. DKI is a multi-shell diffusion model. The input DWI needs
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(MSDKI) metrics. DKI is a multi-shell diffusion model [1]. The input DWI needs
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to be multi-shell, i.e. multi-bvalued.
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Since the diffusion kurtosis model involves the estimation of a large number
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explicitly by the flags will be output.
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This script directly comes from the DIPY example gallery and references
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therein.
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[1] examples_built/reconst_dki/#example-reconst-dki
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[2] examples_built/reconst_msdki/#example-reconst-msdki
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therein. [2], [3]
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-----
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[1] J.H. Jensen, J.A. Helpern, A. Ramani, H. Lu, and K. Kaczynski. Diffusional
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kurtosis imaging: The quantification of non-gaussian water diffusion by means
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of magnetic resonance imaging. Magnetic Resonance in Medicine, 53(6):1432–1440,
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2005. doi:https://doi.org/10.1002/mrm.20508.
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[2] https://docs.dipy.org/dev/examples_built/reconstruction/reconst_dki.html
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[3] https://docs.dipy.org/dev/examples_built/reconstruction/reconst_msdki.html
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"""
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