San Francisco, CA, United States of America

Yanjun Fu

USPTO Granted Patents = 3 


 

Average Co-Inventor Count = 2.4

ph-index = 1


Company Filing History:


Years Active: 2021-2025

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3 patents (USPTO):Explore Patents

Title: Yanjun Fu: Innovator in CT Imaging Technology

Introduction

Yanjun Fu is a notable inventor based in San Francisco, CA, who has made significant contributions to the field of CT imaging technology. With a focus on developing advanced contrast materials, Fu holds 3 patents that enhance imaging techniques and improve patient outcomes.

Latest Patents

Yanjun Fu's latest patents include innovative formulations for CT contrast materials. The first patent, titled "Encapsulated gas or partial vacuum CT contrast material," presents a unique enteric contrast medium formulation. This formulation comprises encapsulated gas or partial vacuum particles suspended in water, designed for effective imaging of the abdomen using dual energy CT or spectral CT. The second patent, "Enteric CT contrast material based on low-z atoms," introduces particulate contrast media made from low-Z elements. This invention allows for simultaneous imaging with different types of contrast media, enhancing the clarity and detail of CT images.

Career Highlights

Fu has worked with prestigious organizations, including the University of California and the United States Government as represented by the Department of Veterans Affairs. His work in these institutions has contributed to the advancement of medical imaging technologies and their applications in clinical settings.

Collaborations

Throughout his career, Yanjun Fu has collaborated with esteemed colleagues, including Benjamin M Yeh and Tejal Ashwin Desai. These partnerships have fostered innovation and the development of cutting-edge technologies in the field of medical imaging.

Conclusion

Yanjun Fu's contributions to CT imaging technology through his patents and collaborations highlight his role as a leading inventor in the field. His work continues to influence advancements in medical imaging, ultimately benefiting patient care and diagnostic accuracy.

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