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Endoscopic Procedures III: Video Capsule Endoscopy

Endoscopic Procedures III: Video Capsule Endoscopy

Capsule endoscopy, or wireless or video capsule endoscopy, is a diagnostic procedure for examining the entire gastrointestinal tract. Patients swallow a capsule about the size of a vitamin tablet. The capsule is equipped with a transmitter, a battery, an LED light source, and a color video camera to capture images throughout the gastrointestinal tract. This procedure is particularly useful for diagnosing conditions such as Crohn's disease, ulcerative colitis, tumors, polyps, ulcers,...

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Wireless Capsule Endoscope Localization with Phase Detection Algorithm and Adaptive Body Model.

Paweł Oleksy¹, Łukasz Januszkiewicz¹

¹Institute of Electronics, Lodz University of Technology, Politechniki 10 Street, 93-590 Lodz, Poland.

Sensors (Basel, Switzerland)

|March 26, 2022

Summary

This study introduces an improved wireless signal phase detection algorithm for locating wireless capsule endoscopes. The method enhances localization accuracy by approximately 30% using adaptive human body modeling.

Keywords:

FDTD WBAN human body models wireless endoscopes wireless localization

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Area of Science:

Biomedical Engineering
Electromagnetics
Medical Imaging

Background:

Wireless capsule endoscopy aids in diagnosing digestive tract conditions by capturing images.
Accurate capsule localization is crucial for identifying lesions within the digestive tract.
Wireless signal propagation in the human body is complex, challenging accurate distance estimation based on received power.

Purpose of the Study:

To develop an enhanced method for localizing wireless capsule endoscopes using wireless signal phase detection.
To improve the accuracy of capsule localization by adaptively estimating human body model permittivity.
To evaluate the impact of antenna type on localization accuracy.

Main Methods:

An enhanced wireless signal phase detection algorithm was developed.
Adaptive estimation of human body model permittivity was employed for each capsule position.
The method was validated using computer simulations (Remcom XFdtd) with a heterogeneous human body model and physical phantom measurements.
A helical antenna was selected for its smaller size and suitability for the capsule.

Main Results:

The proposed technique, incorporating adaptive body model estimation, improved localization accuracy by approximately 30% in both numerical and physical phantom studies.
The choice of transmitting antenna significantly influences localization accuracy, with the helical antenna proving effective.

Conclusions:

The developed wireless signal phase detection algorithm with adaptive human body modeling significantly enhances capsule localization accuracy.
This method offers a more precise approach for identifying lesion locations in wireless capsule endoscopy.
The helical antenna is a suitable choice for wireless capsule endoscopes to improve localization performance.