Adaptable Phantom Prototype
Abstract
This research project focused on the development of an adaptable phantom prototype, designed for use in medical imaging and radiotherapy. The project utilized advanced CAD modeling techniques for component design and leveraged 3D printing technology for prototype fabrication. The prototype's adaptability allows for enhanced training and research opportunities in medical imaging.
Methodology
The development process incorporated cutting-edge technologies and systematic approaches:
CAD Design
Utilized SolidWorks for precise component modeling and assembly simulations to ensure proper fit and functionality.
3D Printing
Fabricated prototype parts using PLA material with FDM 3D printing technology for cost-effective production.
Validation Testing
Conducted imaging tests to verify the prototype's performance across different medical imaging modalities.
Complete 3D model showing the phantom's anatomical features and adjustable components
Detailed engineering drawings with precise dimensions for manufacturing
Comprehensive list of components and materials used in the prototype
Key Features
The prototype incorporates several innovative features that enhance its functionality:
Customizable anatomical features that can be modified to simulate various medical conditions and patient characteristics, enabling diverse imaging scenarios.
Interchangeable components that allow for quick reconfiguration between different imaging modalities (CT, MRI, X-ray) and research requirements.
Impact and Future Directions
This project has made significant contributions to medical imaging research and education:
Medical Training
Enhanced training capabilities for radiology students and professionals
Research Potential
Enabled new possibilities for imaging technique development and validation
Cost Reduction
Reduced costs compared to commercial phantoms through 3D printing
Future work will focus on expanding the phantom's capabilities, including integration with AI-based imaging analysis and development of tissue-equivalent materials for more accurate simulations.