Tucson, AZ, United States of America

Phillip H Kuo

This inventor holds 1 USPTO granted patent. Top assignee: The University of Arizona. Active years: 2018.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018

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1 patent (USPTO):Explore Patents

Title: Innovations by Phillip H Kuo

Introduction

Phillip H Kuo is a notable inventor based in Tucson, AZ. He has made significant contributions to the field of imaging technology, particularly in the area of motion artifact correction. His work is essential for improving the quality of images obtained in various medical and technological applications.

Latest Patents

Phillip H Kuo holds a patent for "Systems, methods and devices for performing motion artifact correction." This invention provides methods and devices for correcting motion-related imaging artifacts. The methods include positioning a device configured to detect motion at a region of interest on an object. It also involves simultaneously obtaining an image data set of the region of interest and a motion data set at the region of interest with the device. The invention corrects motion-related imaging artifacts using an algorithm that identifies time periods of motion from the motion data set and corrects the image data set corresponding to those identified time periods.

Career Highlights

Phillip H Kuo is affiliated with the University of Arizona, where he continues to advance research in imaging technologies. His innovative work has garnered attention in both academic and professional circles, contributing to the development of more accurate imaging techniques.

Collaborations

Phillip has collaborated with notable colleagues, including Matthew Kupinski and Bijan Najafi. These collaborations have further enhanced the impact of his research and innovations in the field.

Conclusion

Phillip H Kuo's contributions to motion artifact correction represent a significant advancement in imaging technology. His work not only improves the quality of images but also enhances the overall effectiveness of imaging systems in various applications.

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