Related Experiment Video
Updated: Jan 8, 2026
05:56
Monitoring Lung Function with Electrical Impedance Tomography in the Intensive Care Unit
Published on: September 6, 2024
5.9K
2D boundary shape detection based on camera for enhanced electrode placement in lung electrical impedance tomography
Leonard Brainaparte Kwee1, Marlin Ramadhan Baidillah2, Muhammad Nurul Puji1
1Automotive & Robotics Program, Computer Engineering Department, BINUS ASO School of Engineering, Bina Nusantara University, Alam Sutera - Serpong, 15325, Indonesia.
Biomedical Physics & Engineering Express
|December 15, 2025
Summary
This study introduces a low-cost method using smartphone photogrammetry for precise, patient-specific electrode placement in lung Electrical Impedance Tomography (EIT). This improves image accuracy by accounting for individual anatomy, moving beyond generic templates.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Computational Anatomy
Background:
- Accurate electrode placement is crucial for high-fidelity lung Electrical Impedance Tomography (EIT).
- Current EIT systems use simplified circular templates, ignoring patient-specific anatomical variations.
- This limitation hinders optimal image reconstruction and diagnostic accuracy.
Purpose of the Study:
- To develop and evaluate a novel, low-cost pipeline for patient-specific electrode placement in EIT using smartphone photogrammetry.
- To generate individualized 3D torso reconstructions for accurate, boundary-aligned electrode positioning.
- To assess the accuracy and repeatability of the proposed photogrammetry-based method.
Main Methods:
- Smartphone-based photogrammetry for 3D torso reconstruction.
- Automated video frame extraction, mesh processing, and 2D boundary extraction.
- Real-world anatomical scaling and both manual/automatic electrode detection.
Main Results:
- Sub-centimeter Mean Absolute Error (0.42-0.60 cm) and Mean Percentage Error (8.56-11.51%) in electrode placement accuracy.
- High accuracy (98.79%) in generated subject-specific finite element meshes compared to direct measurements.
- Good repeatability with Coefficient of Variation below 15% (MPE) and 19% (MAE).
Conclusions:
- Smartphone photogrammetry offers a viable, low-cost solution for personalized electrode placement in EIT.
- The developed pipeline significantly improves accuracy and anatomical relevance over traditional methods.
- This approach lays the groundwork for enhanced clinical EIT and other bioimpedance applications.
