Jamaica Plain, MA, United States of America

Rui Guo


Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Rui Guo in Magnetic Resonance Imaging

Introduction

Rui Guo is an accomplished inventor based in Jamaica Plain, MA (US). He has made significant contributions to the field of medical imaging, particularly through his innovative work in magnetic resonance imaging (MRI). His expertise and dedication have led to the development of a unique patent that enhances the capabilities of MRI technology.

Latest Patents

Rui Guo holds a patent for a "System and method for quantitative parameter mapping using magnetic resonance images." This system is designed to facilitate quantitative parameter mapping by utilizing a plurality of weighted MR images of a subject. It includes an input for receiving these images along with corresponding imaging parameters. The core of this invention is a quantitative parameter mapping neural network that estimates tissue parameters and generates quantitative maps based on the input data. This neural network can be trained using a set of training data that incorporates confounders for accurate quantification. Additionally, the system features a display that presents the generated quantitative maps, making it a valuable tool in medical diagnostics.

Career Highlights

Rui Guo is affiliated with Beth Israel Deaconess Medical Center, Inc., where he applies his expertise in medical imaging. His work at this prestigious institution has allowed him to collaborate with other professionals in the field and contribute to advancements in healthcare technology.

Collaborations

One of Rui Guo's notable collaborators is Reza Nezafat. Their partnership exemplifies the collaborative spirit in the field of medical research and innovation.

Conclusion

Rui Guo's contributions to magnetic resonance imaging through his innovative patent demonstrate his commitment to advancing medical technology. His work not only enhances imaging capabilities but also has the potential to improve patient outcomes in healthcare.

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