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Monte Carlo simulation models the random paths of photons in tissue, aiding in understanding how they interact and guiding the optimization of medical imaging and treatment strategies.

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Monte Carlo Photon Pathway Simulation in Human Tissue

Photon Path Animation

Photon Path Animation

Welcome to the Monte Carlo Photon Pathway Simulation project! This repository contains a comprehensive Monte Carlo simulation aimed at predicting the pathways of photons as they traverse through human tissue. This simulation has been designed to model the intricate interactions between photons and tissue, providing valuable insights into various biomedical and optical applications.

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Table of Contents

Introduction

Monte Carlo simulations are widely used in various scientific fields to model complex systems and phenomena that involve random processes. In this project, we utilize the Monte Carlo method to simulate the behaviour of photons as they propagate through human tissue. This simulation takes into account multiple factors, such as tissue composition, scattering, absorption, and reflection, to predict the pathway and behaviour of photons in a realistic and informative manner.

Usage

To run the simulation and observe the photon pathway predictions, follow these steps:

  1. Installation: Ensure you have the required dependencies and libraries installed (details provided in the Installation section).

  2. Configuration: Adjust simulation parameters, tissue properties, and other settings as needed in the config.json file.

  3. Run Simulation: Execute the simulation script using your preferred programming language (e.g., Python). The simulation will generate data and visualizations showcasing the predicted pathways of photons inside human tissue.

  4. Results: Analyze the generated data and visualizations to gain insights into photon-tissue interactions. Use these results to inform your biomedical research, optical design, or related applications.

Features

  • Accurate modeling of photon behavior in complex tissue environments.
  • Customizable simulation parameters to cater to various scenarios.
  • Data output for in-depth analysis of photon pathway predictions.
  • Visualization tools to aid in understanding simulation results.

Installation

To clone this repository:

git clone https://github.com/yourusername/monte-carlo-photon-pathway.git
cd monte-carlo-photon-pathway

Contributions

Contributions to this project are more than welcome! Whether it's bug fixes, feature enhancements, or general improvements, feel free to submit pull requests. Please ensure that you follow the project's coding standards and guidelines.

License

This project is licensed under the MIT License, allowing you to use, modify, and distribute the code as you see fit.

Ready to explore the intricate world of photon-tissue interactions? Feel free to reach out if you have questions or suggestions, or if you'd like to collaborate on enhancing this simulation further!

Author: Pavia Bera

Contact: paviabera@usf.edu

LinkedIn: linkedin.com/in/paviabera/

Configure the simulation parameters to match your requirements.

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Monte Carlo simulation models the random paths of photons in tissue, aiding in understanding how they interact and guiding the optimization of medical imaging and treatment strategies.

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