akarshp28/EIT-EBM
EIT-EBM
This project helps medical imaging researchers or bioengineers working with Electrical Impedance Tomography (EIT) to more accurately and quickly reconstruct internal body conductivity maps. You provide EIT measurement data and this system produces improved images of internal tissue electrical properties. It's designed for those developing or evaluating advanced EIT reconstruction techniques, particularly for identifying anomalies within the body.
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Use this if you need to solve the highly ill-posed inverse problem in Electrical Impedance Tomography, aiming for faster and more robust reconstruction of internal conductivity distributions.
Not ideal if you are looking for a plug-and-play clinical EIT imaging solution or if you lack a strong understanding of physics-informed neural networks and inverse problems.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 12, 2024
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