RPI ID: 2020-060-201
Innovation Summary: A machine learning system reconstructs imaging volumes without requiring external tracking devices. The method uses internal image features and learned spatial relationships to align and assemble slices into coherent 3D volumes. It is particularly useful in ultrasound and other modalities where tracking hardware is impractical. The system supports real-time reconstruction and is compatible with portable imaging platforms.
Challenges / Opportunities: Tracking hardware adds complexity and cost to imaging systems. This invention eliminates the need for external tracking by using AI-based spatial inference. It opens opportunities for low-cost, mobile imaging in remote and resource-limited settings. The method enhances usability and reduces setup time.
Key Benefits / Advantages: ✔ Trackless 3D reconstruction ✔ Reduces hardware requirements ✔ Enables portable imaging ✔ Real-time processing ✔ Compatible with multiple modalities
Applications: • Ultrasound imaging • Mobile diagnostics • Point-of-care imaging
Keywords: #volumereconstruction #machinelearning #tracklessimaging #portabledevices #medicalAI #ultrasound
Intellectual Property: US Issued Patent 12354274