This inventor holds 1 USPTO granted patent. Top assignee: University of Illinois. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Jing-Rebecca Li: Innovator in MRI Technology
Introduction
Jing-Rebecca Li is a prominent inventor based in Palaiseau, France. She has made significant contributions to the field of medical imaging, particularly in the use of magnetic resonance imaging (MRI) to measure blood vessel characteristics. Her innovative work has the potential to enhance diagnostic capabilities in medical practice.
Latest Patents
Jing-Rebecca Li holds a patent for a method of measuring blood vessel characteristics using MRI. This patent involves obtaining first MRI data during a scan with a specific diffusion sampling time, which is crucial for determining the Intravoxel Incoherent Motion (IVIM) effective diffusion coefficient in a Stationary Random Flow (SRF) regime. Additionally, she obtains second MRI data during a subsequent scan with a longer diffusion sampling time to determine the IVIM effective diffusion coefficient in a pseudodiffusion regime. This innovative approach allows for the determination of blood velocity and segment length values, providing valuable insights into vascular health.
Career Highlights
Jing-Rebecca Li is affiliated with the University of Illinois, where she continues to advance her research in MRI technology. Her work is characterized by a commitment to improving medical imaging techniques and enhancing patient care through innovative solutions.
Collaborations
Jing-Rebecca Li has collaborated with notable colleagues, including Bradley P. Sutton and Alexander M. Cerjanic. These partnerships have contributed to the development and refinement of her patented technologies.
Conclusion
Jing-Rebecca Li is a trailblazer in the field of MRI technology, with her patent reflecting her dedication to advancing medical imaging. Her contributions are poised to make a significant impact on the future of diagnostic medicine.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
