Image Registration: Large Deform Diffeomorphism metric mapping

Getting Started

Simply open the jupyter notebook and see how some demo on pictures that we uploaded with this repository

Prerequisites

What things you need to install the software and how to install them

scikit-image
matplotlib
numpy
pytorch
notebook
scipy

Installing

Here are the steps to follow

conda install environment.yml
conda activate lddmm

Running the tests

Simply run main.py

python3 main.py

Break down into end to end tests

Our tests are working on anchors example. Here are some examples of results and their explanation.

• Active landmark annotating
• momentum of 0
• two steps gradient descent momentum and control points
• loss: MSE
• regularization: euclidian norm on momentum (integrated on path)
• (optional: affine transform beforehand)

Original images, superposed

Registered images, superposed

Deformation map

Deployment

None yet, you can do some pull requests to me

Built With

• python3 - The web framework used

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Authors

Michael Chan

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

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