Eden Prairie, MN, United States of America

Yan Yang


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2017

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1 patent (USPTO):Explore Patents

Title: Yan Yang - Innovator in Medical Imaging Technology

Introduction

Yan Yang is a notable inventor based in Eden Prairie, MN (US), recognized for her contributions to medical imaging technology. With a focus on enhancing visualization techniques, she has developed innovative methods that improve the interpretation of medical images.

Latest Patents

Yan Yang holds a patent for "Hollow object model visualization in medical images." This patent discloses techniques for generating a hollow model from a medical image. In her invention, a hollow model can be created within a medical imaging visualization application by generating a mask of the interior space of a segmented anatomical structure. The process involves extruding a shell mask from the mask of the interior space and generating a visualization of the shell mask within the application. This allows users to visualize the produced shell mask from the perspective of the medical imaging. Additionally, her techniques may incorporate shell region modifications, variable shell thickness, multiple shell layers, and trimming of shell endpoints.

Career Highlights

Yan Yang is currently employed at Vital Images, Inc., where she continues to advance her research and development in medical imaging technologies. Her work has significantly impacted the field, providing healthcare professionals with better tools for diagnosis and treatment planning.

Collaborations

Yan collaborates with talented individuals such as Samuel W. Peterson and Pascal Salazar-Ferrer, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Yan Yang's innovative work in medical imaging visualization exemplifies the importance of advancements in healthcare technology. Her patent and ongoing contributions continue to enhance the capabilities of medical imaging applications, ultimately benefiting patient care.

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