Dallas, TX, United States of America

Duan Xinhui


Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Duan Xinhui: Innovator in Spectral Computed Tomography Fingerprinting

Introduction

Duan Xinhui is a notable inventor based in Dallas, TX (US). He has made significant contributions to the field of imaging technology, particularly through his innovative patent in spectral computed tomography fingerprinting. His work exemplifies the intersection of advanced imaging techniques and practical applications in various industries.

Latest Patents

Duan Xinhui holds a patent for a method titled "Spectral Computed Tomography Fingerprinting." This method involves generating spectral projection data of a subject, which includes first and second spectral projection data corresponding to different energy ranges. The process further entails constructing an image from a combination of this spectral projection data and developing a set of basis images for five energy ranges. Additionally, a multi-dimensional histogram is created from the basis images, which visually presents the image alongside the histogram, enhancing the analysis of materials represented in the spectral data. He has 1 patent to his name.

Career Highlights

Duan Xinhui is associated with Koninklijke Philips Corporation N.V., a leading company in health technology and imaging solutions. His role at Philips allows him to contribute to cutting-edge research and development in imaging technologies, furthering the capabilities of medical diagnostics and treatment.

Collaborations

Duan has collaborated with notable colleagues such as Shlomo Gotman and Liran Goshen. These partnerships have likely enriched his work and contributed to the advancement of their shared projects in imaging technology.

Conclusion

Duan Xinhui's innovative work in spectral computed tomography fingerprinting showcases his expertise and commitment to advancing imaging technologies. His contributions are significant in enhancing the understanding and application of spectral data in various fields.

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