A 3D visualization method for bladder filling examination based on EIT.

Area of Science:

• Medical Imaging
• Biomedical Engineering
• Electrical Engineering

Background:

• Electric Impedance Tomography (EIT) is increasingly researched for medical applications.
• Current EIT methods face challenges in accurately visualizing complex anatomical structures like the human bladder.
• Accurate bladder volume assessment is crucial for preventing overfilling and ensuring patient safety.

Purpose of the Study:

• To develop a 3D imaging system for the human bladder using EIT.
• To propose methods for evaluating simulated bladder volume and preventing overfilling.
• To enhance the spatial resolution and accuracy of EIT reconstructions for bladder imaging.

Main Methods:

• Utilized a planar electrode array system for data acquisition.
• Employed a combined regularization algorithm for inverse problem solving.
• Incorporated edge detection and information tracking for morphological feature extraction.
• Applied finite element modeling for spatial localization and volume calculation.

Main Results:

• Achieved enhanced spatial resolution and distinguishable feature reconstruction.
• Successfully overcame common reconstruction defects such as holes, protrusions, and debris.
• Demonstrated the ability to extract quantitative morphological features from noise and background.
• Enabled calculation of target location and approximate volume, a novel capability for 3D EIT bladder imaging.

Conclusions:

• The proposed EIT approach provides reliable 3D visualization of the human bladder.
• The developed algorithm significantly improves the accuracy and quality of bladder volume assessment.
• This method offers a promising non-invasive tool for monitoring bladder status and preventing overfilling.