RPI ID: 2021-072-401
Innovation Summary: AI-enabled ultra-low-dose CT reconstruction systems use deep learning to restore image quality from low-radiation scans. The models are trained on paired datasets to enhance resolution and contrast while minimizing noise. This approach allows for safer imaging without compromising diagnostic accuracy. It is adaptable to various anatomical regions and CT protocols.
Challenges / Opportunities: Reducing radiation exposure in CT imaging often leads to degraded image quality. This invention overcomes that limitation by applying AI-based reconstruction techniques. It supports safer diagnostics for vulnerable populations and improves throughput in clinical settings. The system can be integrated into existing imaging infrastructure.
Key Benefits / Advantages: ✔ Ultra-low-dose imaging ✔ AI-based image enhancement ✔ Reduced radiation risk ✔ Compatible with existing CT systems ✔ Real-time reconstruction
Applications: • Diagnostic radiology • Pediatric imaging • Oncology monitoring
Keywords: CT imaging, low-dose reconstruction, artificial intelligence, medical imaging, radiology, image enhancement
Intellectual Property: US application, 18/569764, US20240290014A1, 13-Dec-2023