University of Pittsburgh researchers have developed a novel method and apparatus for real-time tracking of radioactivity and automated calculation of ejection fractions during dynamic nuclear medicine procedures. This technology leverages an advanced AI algorithm to detect and track organs of interest and calculate ejection fractions frame-by-frame, enhancing workflow efficiency and patient safety.
Description
The invention involves a multi-layered AI approach that includes AI software to automatically detect and draw regions of interest (ROI) around organs in each image frame, computational refinement layers to minimize artifacts such as patient motion and optimize AI output, and automated calculation of ejection fractions after excluding bad data. This technology addresses the limitations of current nuclear medicine imaging protocols, which are outdated and lack flexibility. By integrating AI, the invention offers real-time data evaluation, improving the efficiency and accuracy of nuclear medicine procedures.
Applications
• Real-time tracking of radioactivity in organs
• Automated calculation of ejection fractions
• Enhanced nuclear medicine imaging workflows
• Improved patient safety and care quality
Advantages
This technology significantly reduces the time required for nuclear medicine procedures by providing flexible and optimized imaging workflows. It enhances protocol efficiency and patient safety through the use of advanced AI for accurate and real-time data analysis, ultimately improving care quality.
Invention Readiness
The technology is currently at the prototype stage. Initial experiments have demonstrated the AI algorithm's capability to accurately detect and track organs of interest in real-time during dynamic nuclear medicine procedures. The prototype has successfully minimized artifacts such as patient motion and optimized the AI output, leading to reliable automated calculations of ejection fractions.
IP Status
https://patents.google.com/patent/US20230129584A1
