BREIT

Brain Stroke Reconstruction using Multi-Frequency 3D EIT

BREIT: A Framework for Brain Stroke Reconstruction using Multi-Frequency 3D EIT

BREIT is a modular and reproducible framework for 3D Multi-Frequency Electrical Impedance Tomography (MF-EIT) stroke reconstruction. EIT is a non-invasive, low-cost, and portable modality that reconstructs electrical property distributions from boundary voltages — making it a promising tool for continuous, bedside stroke monitoring where CT/MRI are unavailable.

Framework Overview

BREIT unifies three core components into a single configurable pipeline:

  1. Neuroimaging-to-EIT pipeline — converts CT/MRI scans into frequency-dependent ground-truth admittivity volumes, supporting both ischemic (DWI/ADC/MRI) and hemorrhagic (CT) stroke types, registered to MNI152 space.
  2. 3D CEM forward solver — a self-contained Python implementation of the 3D Complete Electrode Model (CEM) for simulating MF-EIT voltages across 17 frequencies (5–2000 Hz), validated against EIDORS on the public UCLH stroke dataset.
  3. 3D D-bar reconstruction — supports non-uniform electrode layouts via spherical Voronoi surface-area weighting, providing classical baselines for benchmarking.

Code

The codebase is currently under review. Code coming soon at BREIT GitHub Repository.