IntestinalIntussusceptionApp_e

A MATLAB-based computational model for simulating pediatric small intestine peristalsis and elasticity to predict intussusception risk under post-gastroenteritis conditions.

Features

• 1D Fluid–Structure Interaction: Discretizes a 300 cm small intestine into 100 segments, modeling viscoelastic wall mechanics and luminal content propagation.
• Customizable Parameters: Adjust simulation time, peristaltic speed profiles, elasticity spectra, and risk thresholds via a user-friendly GUI.
• Seven Speed Patterns: Linear, segmented, physiological, linear/sigmoid/exponential transitions, and step decline near the terminal ileum.
• Elasticity Distributions: Uniform, linear gradient, sigmoid transition, anatomical regions, and terminal-ileum focus.
• Risk Index Calculation: Combines diameter ratio, speed gradient, and elasticity factors to flag potential intussusception events.

Requirements

• MATLAB R2022a or later
• Signal Processing Toolbox
• Optimization Toolbox (for parameter sweeps)

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/IntestinalIntussusceptionModel.git

2. Open MATLAB and navigate to the project folder:

   cd('path/to/IntestinalIntussusceptionModel')
   IntestinalIntussusceptionApp_e.mlapp

3. Ensure all dependencies are installed via MATLAB Add-On Explorer.

Usage

1. Launch the App by double-clicking IntestinalIntussusceptionApp_e.mlapp or running:

   app = IntestinalIntussusceptionApp_e;

2. Configure parameters in the Settings panel:

   • Simulation Time, Onset Time
   • Speed Profiles & Variability
   • Elasticity Spectra & Variability
   • Risk Thresholds

3. Click Run Simulation.

4. View results in the Visualization tab:

   • Speed & Elasticity profiles
   • Risk heatmaps along the intestinal length
   • Event log for detected intussusception segments

5. Export results as CSV or PNG via the Export menu.

Examples

Pre-configured examples are provided in the examples/ directory:

• example_speed_profiles.m - Demonstrates all seven speed patterns.
• example_sensitivity_analysis.m - Shows elasticity gradient vs. value factor sensitivity.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request. For major changes, open an issue first to discuss proposed improvements.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Citation

If you use this code in your research, please cite:

Hsieh, M.-Y., et al. Predicting Pediatric Intussusception Risk via Computational Modeling of Intestinal Elasticity and Peristaltic Speed. Journal Name, Volume(Issue):Pages (2025).