Published June 26, 2026
| Version v1
Dataset
Open
BREIT: Derived Data and Pretrained Models for Brain Stroke Reconstruction with Multi-Frequency 3D EIT
Authors/Creators
Description
Data and model release for BREIT, a framework for brain stroke reconstruction using multi-frequency 3D Electrical Impedance Tomography. This record includes BREIT derived head/tissue geometry tetrahedral element-wise data for ISLES-derived ischemic stroke cases, IXI-derived healthy controls, synthetic physiological cases, and derived UCLH patient geometries, as well as pretrained DeepDbar and dFNOBAR/FNO-U-Net cascade checkpoints. The release supports regeneration of forward EIT simulations, D-bar caches, and reconstruction experiments.
Files
SHA256SUMS.txt
Files
(12.6 GB)
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md5:0af51ba6bd436d191dc9b9c1cb1b59e9
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8.0 GB | Download |
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md5:837cc2423efdbc24d5fc2946617e544e
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1.7 GB | Download |
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md5:fce05c86d6b183707324fde8bd850b34
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2.2 GB | Download |
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md5:1fbee350e61995f3e304f95a6d97f76b
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121.2 MB | Download |
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md5:248e9b276923db703144f1a976d94ea7
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649.1 MB | Download |
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md5:6439bdf0422ec7fb9f85858ed0a49636
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526 Bytes | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/DJAHIDDJ13/BREIT