akarshp28/EIT-EBM

EIT-EBM

27
/ 100
Experimental

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.

No commits in the last 6 months.

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.

Electrical Impedance Tomography biomedical imaging medical physics inverse problems tomographic reconstruction
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 5 / 25

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Stars

20

Forks

1

Language

Jupyter Notebook

License

MIT

Last pushed

Jun 12, 2024

Commits (30d)

0

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