East Lansing, MI, United States of America

Yiqun Yang


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations of Yiqun Yang in Shear Viscosity Imaging

Introduction

Yiqun Yang is an accomplished inventor based in East Lansing, MI (US). He has made significant contributions to the field of medical imaging, particularly through his innovative patent related to shear viscosity imaging. His work has the potential to enhance diagnostic capabilities in various medical applications.

Latest Patents

Yiqun Yang holds a patent for "Shear viscosity imaging with acoustic radiation force." This invention involves generating and measuring shear waves in viscoelastic phantoms using a single push beam. The process includes numerical simulations or analytical functions to describe the diffraction of the shear wave. The resulting shear wave motion is calculated with varying shear elasticity values and convolved with an expression that accounts for the viscosity of the medium. An optimization algorithm is employed to select tissue parameters that minimize the difference between the measured and simulated shear waveforms. Ultimately, a shear viscosity image is produced by applying this optimization procedure across all observation points.

Career Highlights

Throughout his career, Yiqun Yang has worked with notable institutions, including Michigan State University and the Mayo Foundation for Medical Education and Research. His experience in these organizations has allowed him to develop and refine his innovative ideas in medical imaging.

Collaborations

Yiqun Yang has collaborated with esteemed colleagues such as Robert J. McGough and Matthew W. Urban. These partnerships have contributed to the advancement of his research and the successful development of his patent.

Conclusion

Yiqun Yang's contributions to shear viscosity imaging represent a significant advancement in medical technology. His innovative approach has the potential to improve diagnostic accuracy and patient outcomes in the medical field.

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