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-[1.2]: http://i.imgur.com/wWzX9uB.png
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-[1]: http://www.twitter.com/AswendtMarkus
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-<!--social icon from https://github.com/carlsednaoui/gitsocial -->
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-<img align="left" src="https://github.com/maswendt/AIDAmri/blob/master/AIDA_Logo.png" width="120">
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-<h1>AIDA<i>mri</i></h1>
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-Atlas-based Imaging Data Analysis Pipeline (AIDA) for structural and functional MRI of the mouse brain
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-<br/>
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-<br/>
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-<h3><b>Manual v1.1</h3></b>
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-
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-[**Link**](https://github.com/maswendt/AIDA/blob/master/manual.pdf)
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-
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-[<h3><b>DOCKER (PRE-RELEASE)</h3></b>](https://github.com/aswendtlab/AIDAmri/tree/dockerdev)
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-Check out the dockerdev branch to use our Dockerfile to easily build the pipeline. A separate manual can be accessed [here](https://github.com/aswendtlab/AIDAmri/blob/dockerdev/Docker_manual.pdf).
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-<h3><b>EXAMPLE FILES</h3></b>
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-
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-Download [**here**](https://doid.gin.g-node.org/70e11fe472242e2d4f96c53ac9b0a556/).
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-Mouse MRI data, acquired with Bruker 9.4T - cryo coil setup: adult C57BL7/6 mouse,
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-T2-weighted (anatomical scan),
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-DTI (structural connectivty scan),
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-rs-fMRI (functional connectivity scan).
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-
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-[<h3><b>ARA CREATOR</h3></b>](https://github.com/maswendt/AIDAmri/ARA)
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-Matlab script to generate a custom version of the Allen Mouse Brain Atlas.
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-
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-<h3><b>VERSION HISTORY</h3></b>
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-
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-[Information about Version 1.1.1 (Docker pre-release)](https://github.com/maswendt/AIDAmri/releases/tag/1.1.1)
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-<br/>
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-[Information about Version 1.1 (Stable)](https://github.com/maswendt/AIDAmri/releases/tag/v1.1)
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-<br/>
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-[Information about Version 1.0](https://github.com/maswendt/AIDAmri/releases/tag/v1.0)
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-
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-[<h3><b>CONTACT</h3></b>](https://neurologie.uk-koeln.de/forschung/ag-neuroimaging-neuroengineering/)
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-Markus Aswendt (markus.aswendt@uk-koeln.de)[![alt text][1.2]][1]
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-
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-Need help? Chat with us and find answers to FAQs in the AIDA_Tools Gitter room: [![Gitter](https://badges.gitter.im/AIDA_tools/community.svg)](https://gitter.im/AIDA_tools/community?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge)
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-
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-<h3><b>LICENSE/CITATION</h3></b>
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-GNU General Public License v3.0
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-<br/>
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-<br/>
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-If you use our software or modify parts of it and use it in other ways, please cite:
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-<br/>
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-<br/>
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-*Pallast N, Diedenhofen M, Blaschke S, Wieters F, Wiedermann D, Hoehn M, Fink GR, Aswendt M. Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri). Front Neuroinform. 2019 Jun 4;13:42.[doi: 10.3389/fninf.2019.00042.](https://doi.org/10.3389/fninf.2019.00042)*
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-___
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-<details>
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-<summary>REFERENCES</summary></b>
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-
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-+ Brain Connectivity Toolbox
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- + [M. Rubinov and O. Sporns (2010). Complex Network Measures of Brain Connectivity: Uses
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-and Interpretations. NeuroImage 52 (3), 1059–69.](https://www.sciencedirect.com/science/article/abs/pii/S105381190901074X)
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-+ Allen Mouse Brain Reference Atlas
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- + [Wang et al. (2020). The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas. Cell 181 (4), 936-953.](https://pubmed.ncbi.nlm.nih.gov/32386544/)
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-+ Niftyreg
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- + [Ourselin, et al. (2001). Reconstructing a 3D structure from serial
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-histological sections. Image and Vision Computing, 19(1-2), 25–31.](https://www.sciencedirect.com/science/article/pii/S0262885600000524)
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- + [Modat, et al. (2014). Global image registration using a symmetric block-
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-matching approach. Journal of Medical Imaging, 1(2), 024003–024003.](https://www.ncbi.nlm.nih.gov/pubmed/26158035)
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- + [Rueckert, et al.. (1999). Nonrigid registration using free-form
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-deformations: Application to breast MR images. IEEE Transactions on Medical
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-Imaging, 18(8), 712–721.](https://ieeexplore.ieee.org/document/796284)
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- + [Modat, et al. (2010). Fast free-form deformation using graphics processing
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-units. Computer Methods And Programs In Biomedicine,98(3), 278–284.](https://www.ncbi.nlm.nih.gov/pubmed/19818524)
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-+ FSL
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- + [M.W. Woolrich, S. Jbabdi, B. Patenaude, M. Chappell, S. Makni, T. Behrens, C. Beckmann, M. Jenkinson, S.M. Smith. Bayesian analysis of neuroimaging data in FSL. NeuroImage, 45:S173-86, 2009](https://www.ncbi.nlm.nih.gov/pubmed/19059349)
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- + [S.M. Smith, M. Jenkinson, M.W. Woolrich, C.F. Beckmann, T.E.J. Behrens, H. Johansen-Berg, P.R. Bannister, M. De Luca, I. Drobnjak, D.E. Flitney, R. Niazy, J. Saunders, J. Vickers, Y. Zhang, N. De Stefano, J.M. Brady, and P.M. Matthews. Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23(S1):208-19, 2004](https://www.sciencedirect.com/science/article/pii/S1053811904003933?via%3Dihub)
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- + [M. Jenkinson, C.F. Beckmann, T.E. Behrens, M.W. Woolrich, S.M. Smith. FSL. NeuroImage, 62:782-90, 2012](https://www.sciencedirect.com/science/article/pii/S1053811911010603?via%3Dihub)
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-+ DSIstudio
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- + [Yeh, Fang-Cheng, et al. Deterministic diffusion fiber tracking improved by quantitative anisotropy. (2013): e80713. PLoS ONE 8(11)](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0080713)
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-</details>
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