Shenzhen, China

Nan Xiao

USPTO Granted Patents = 6 

Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019-2023

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Innovations of Nan Xiao in Magnetic Resonance Imaging

Introduction

Nan Xiao is a prominent inventor based in Shenzhen, China, known for his significant contributions to the field of magnetic resonance imaging (MRI). With a total of six patents to his name, he has developed advanced techniques that enhance the capabilities of MRI technology.

Latest Patents

Among his latest patents, Nan Xiao has introduced a magnetic resonance imaging method and system that focuses on improving MRI techniques. This innovation involves occupying a central region of a first k-space with full sampling along a Cartesian trajectory while utilizing undersampling along a non-Cartesian trajectory for the peripheral region. The method includes acquiring sensitivity distribution information of receiving coils and merging Cartesian data from multiple channels to create a third k-space. Additionally, he has developed a method and apparatus for correcting interference in respiratory navigation. This method involves transmitting a respiratory signal during magnetic resonance scanning and acquiring a measured respiratory signal to determine the real respiratory signal amidst interference.

Career Highlights

Nan Xiao is currently employed at Siemens Healthcare GmbH, where he continues to push the boundaries of MRI technology. His work has been instrumental in advancing the field and improving diagnostic capabilities.

Collaborations

He collaborates with notable colleagues, including Qiong Zhang and Yan Zhang, who contribute to his innovative projects and research endeavors.

Conclusion

Nan Xiao's contributions to magnetic resonance imaging exemplify the impact of innovation in healthcare technology. His patents reflect a commitment to enhancing medical imaging techniques, ultimately benefiting patient care and diagnostic accuracy.

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