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AFIDs Clinical

AFIDs framework applied to clinical imaging data.
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Table of Contents

  1. About The Project
  2. Getting Started
  3. Usage
  • Contributing
  • License
  • Contact
  • Acknowledgements
  • About The Project

    This companion repository is for the article Application of the anatomical fiducials framework to a clinical dataset of patients with Parkinson’s disease.

    Built With

    • Python version: 3.8
    • Matlab version: vR2018b

    Getting Started

    To get a local copy up and running follow these simple steps.

    Prerequisites

    • No Prerequisites required

    Installation

    1. In a terminal, clone the repo by running:

      git clone https://github.com/greydongilmore/afids-clinical.git
    2. Change into the project directory (update path to reflect where you stored this project directory):

      cd /home/user/Documents/Github/afids-clinical
    3. Install the required Python packages:

      python -m pip install -r src/python/requirements.txt

    Usage

    Repository Structure

    The repository has the following scheme:

    ├── README.md
    ├── LICENSE.txt
    ├── data
    |   ├── fid_standards
    |   ├── input_fid_MNI_linear_combined
    |   ├── input_fid_native
    |   ├── OASIS-1
    |   └── demographics.tsv
    ├── manuscript
    |   ├── afids_glass_brain.html                      # Interactive glass brain plot of all AFIDs
    |   └── final_figures                               # Final manuscript figures
    ├── results
    |   ├── avg_fcsv
    |   └── plots
    └── src
        ├── matlab
        |    ├── Fids_analysis.m                        # AFIDs analysis in patient space 
        |    ├── Fids_analysis_fmriprep.m               # AFIDs analysis using fmriprep results
        |    ├── Fids_analysis_mni.m                    # AFIDs analysis in MNI space 
        |    └── Fids_distance.m                        
        └── python
            ├── antsApplyH5TransformsToSlicerFCSV.py    # applies full ANTS transform to fcsv file of markups points using the **antsApplyTransformsToPoints** ANTS command 
            ├── antsApplyLinearTransformToSlicerFCSV.py # applies linear component of ANTS transform to fcsv file of markups points using the **antsApplyTransformsToPoints** ANTS command 
            ├── apply_transform.py                      # to be run within 3D Slicer Python interactor - applies transform to all input fcsv files
            ├── Fids_analysis.py                        # manuscript analysis and figures
            ├── registration_decoupling.py              # code used to decouple the linear and non-linear components of the ANTS transform using the **CompositeTransformUtil** ANTS command
            └── requirements.txt
    

    Contributing

    Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

    1. Fork the Project
    2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
    3. Commit your Changes (git commit -m 'Add some AmazingFeature')
    4. Push to the Branch (git push origin feature/AmazingFeature)
    5. Open a Pull Request

    License

    Distributed under the MIT License. See LICENSEfor more information.

    Contact

    Project Link: https://github.com/greydongilmore/afids-clinical

    Acknowledgements

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