This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: King's College London. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Cian Scannell: Innovator in Medical Imaging Technology
Introduction
Cian Scannell is a prominent inventor based in London, GB. He has made significant contributions to the field of medical imaging technology, particularly in the area of estimating arterial input function (AIF). His innovative work has the potential to enhance the accuracy of myocardial perfusion assessments.
Latest Patents
Cian Scannell holds a patent for a "Method and system for estimating arterial input function." This patent describes a method and system for deriving a computer-implemented trained artificial intelligence (AI) model. The model is capable of predicting AIF from blood and myocardial signal intensity curves obtained using a magnetic resonance (MR) scanner during the injection of a single high dosage bolus of contrast agent. The method requires a large input data set of prior obtained dual bolus or dual sequence sets of scan measurements to train the AI model. Once trained, the AI model can predict myocardial perfusion parameters such as AIF from MR data obtained during the injection of a single bolus of contrast agent.
Career Highlights
Cian Scannell is affiliated with King's College London, where he continues to advance research in medical imaging. His work focuses on integrating AI with traditional imaging techniques to improve diagnostic capabilities. His innovative approach has garnered attention in the medical community, highlighting the importance of technology in enhancing patient care.
Collaborations
Cian collaborates with Amedeo Chiribiri, a fellow researcher in the field. Their partnership aims to push the boundaries of medical imaging and develop new methodologies that can benefit clinical practices.
Conclusion
Cian Scannell's contributions to medical imaging technology through his innovative patent demonstrate the potential of AI in healthcare. His work not only advances scientific knowledge but also has practical implications for improving patient outcomes.
