Yi Hu

Title: Yi Hu - Innovator in Imaging Technology

Introduction

Yi Hu is a notable inventor based in Vernon Hills, IL (US), recognized for his contributions to imaging technology. He holds a total of 3 patents that reflect his innovative approach to enhancing imaging systems.

Latest Patents

One of Yi Hu's latest patents is titled "Apparatus, method, and non-transitory computer-readable storage medium for generating a task-aware dynamic sparse-view scanning procedure." This patent describes a system and method for controlling an acquisition system to obtain a next set of projection data based on a currently acquired set. The method utilizes learned imaging conditions derived from training data, which includes projection data and dose information. In one embodiment, the initial dose and angle for obtaining the initial set of projection data are chosen at random, while in another, they are based on a test scan and a trained neural network.

Another significant patent is the "Method and system for automatic deployment of image restoration parameters." This method involves obtaining projection data for an object, transmitting an image quality dataset to a remote server, and generating localized restoration information based on the received dataset. The localized restoration information is then transferred back to the local imaging system for updates.

Career Highlights

Yi Hu is currently employed at Canon Medical Systems Corporation, where he applies his expertise in imaging technology. His work focuses on developing advanced imaging systems that improve the quality and efficiency of medical imaging.

Collaborations

Throughout his career, Yi Hu has collaborated with notable colleagues, including John Baumgart and Joseph Manak. These collaborations have contributed to the advancement of imaging technologies and the successful development of innovative solutions.

Conclusion

Yi Hu's work in imaging technology exemplifies the impact of innovation in the medical field. His patents and contributions continue to shape the future of imaging systems, enhancing their capabilities and effectiveness.