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Years Active: 2020
Title: Ruiliang Bai: Innovator in Magnetic Resonance Imaging
Introduction
Ruiliang Bai is a notable inventor based in Bethesda, MD (US). He has made significant contributions to the field of magnetic resonance imaging, holding 2 patents that showcase his innovative approaches to image reconstruction.
Latest Patents
One of Ruiliang Bai's latest patents focuses on "Magnetic resonance 2D relaxometry reconstruction using partial data." This invention presents a method to reconstruct image data for an object using a partial set of magnetic resonance (MR) measurements. The approach involves selecting a subset of data points in a data space representing an object for MR data acquisition. By utilizing partial MR data corresponding to these selected data points, the speed of image reconstruction can be dramatically improved. The method employs compressive sensing techniques to fill in missing measurements, leveraging a priori knowledge of the data structure. This innovative approach allows for the recovery of a compressed data matrix from measurements that satisfy the restricted isometry property (RIP), ultimately solving the zeroth-order regularization minimization problem using a 2D ILT approach.
Career Highlights
Ruiliang Bai has had a distinguished career, working with prominent organizations such as the National Institutes of Health, a component of the US Department of Health & Human Services, and the University System of Maryland. His work in these institutions has contributed to advancements in medical imaging and research.
Collaborations
Throughout his career, Ruiliang Bai has collaborated with esteemed colleagues, including Peter J Basser and Alexander Cloninger. These partnerships have further enriched his research and innovations in the field.
Conclusion
Ruiliang Bai's contributions to magnetic resonance imaging through his patents and collaborations highlight his role as an influential inventor in the field. His innovative methods continue to advance the capabilities of medical imaging technology.