GiannakopoulosIlias/vision-transformer-network-for-mr-electrical-properties-tomography

A 3D Vision Transformer-based neural network for reconstructing electrical properties of tissues from MRI data.

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Emerging

This tool helps medical researchers and physicists reconstruct electrical properties of tissues and materials from magnetic resonance imaging (MRI) data. You input raw MR measurements (specifically transmit field magnitude and transceive phase) and it outputs detailed 3D maps of relative permittivity and electrical conductivity within the scanned object. It's designed for scientists working with MRI to understand tissue composition.

No commits in the last 6 months.

Use this if you need to derive quantitative electrical property maps from MR measurements for research or diagnostic development.

Not ideal if you are working with real-world, clinical MRI data, as this project is built and tested exclusively on simulated data.

medical-imaging biophysics mri-analysis tissue-characterization electrical-properties-tomography
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

9

Forks

2

Language

Python

License

MIT

Last pushed

Apr 25, 2025

Commits (30d)

0

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