Stony Brook, NY, United States of America

Wei Zeng


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Innovations of Wei Zeng in Tubular Structure Mapping

Introduction: Wei Zeng is an accomplished inventor based in Stony Brook, NY (US). He has made significant contributions to the field of computer-based mapping, particularly in the context of tubular structures. His innovative approach has led to the development of a unique patent that addresses the challenges of accurately representing complex 3D datasets.

Latest Patents: Wei Zeng holds a patent for a "System and method for context preserving maps of tubular structures." This invention outlines a computer-based method for generating context-preserving mappings of tubular structures. The process involves projecting a skeleton of a 3D tubular structure onto a 2D plane and adjusting the projection to correct any distortion in skeleton length. The method further includes processing the 2D projected skeleton to eliminate intersections and determining a surface boundary around the 2D skeleton to create a comprehensive map. Ultimately, the 3D surface of the skeleton is mapped to align with the 3D boundary, resulting in a detailed 3D map of the tubular structure.

Career Highlights: Wei Zeng is affiliated with the State University of New York, where he continues to advance his research and innovations. His work has garnered attention for its practical applications in various fields, including medical imaging and structural analysis.

Collaborations: Some of Wei Zeng's notable coworkers include Arie E Kaufman and Xianfeng David Gu. Their collaborative efforts contribute to the ongoing research and development in the area of 3D mapping technologies.

Conclusion: Wei Zeng's innovative work in the field of tubular structure mapping exemplifies the impact of technology on scientific research. His patent reflects a significant advancement in the ability to visualize complex structures, paving the way for future innovations in this domain.

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