Yan Liu

Title: Innovations of Yan Liu in Medical Imaging Technology

Introduction

Yan Liu is a prominent inventor based in Vernon Hills, IL (US), known for his significant contributions to the field of medical imaging technology. With a total of 11 patents to his name, Liu has been at the forefront of developing advanced methods that enhance the accuracy and efficiency of computed tomography (CT) imaging.

Latest Patents

One of Liu's latest patents is an apparatus and method that utilizes deep learning to correct computed tomography (CT) images through sinogram completion of projection data. This innovative deep learning (DL) network is designed to correct and perform sinogram completion based on complementary high- and low-kV projection data generated from a sparse kilo-voltage (kV)-switching CT scan. The DL network is trained using inputs and targets generated with and without kV switching. Additionally, another DL network is trained to correct sinogram-completion errors in the projection data after a basis/material decomposition. A third DL network is developed to address sinogram-completion errors in reconstructed images based on the kV-switching projection data. The performance of the DL network can be enhanced by dividing a 3D convolutional neural network (CNN) into two steps performed by respective 2D CNNs. Furthermore, the projection data and DL can be divided into high- and low-frequency components to improve overall performance.

Another notable patent involves a medical image processing apparatus that comprises a plurality of neural networks corresponding to different fields of view. This apparatus includes a memory and processing circuitry, where the memory stores various neural networks for multiple imaging target sites. Each neural network consists of an input layer, an output layer, and an intermediate layer, generated through learning processing with multiple data sets acquired for the corresponding imaging target site. The processing circuitry is responsible for processing first data into second data using the neural network that corresponds to the imaging target site for the first data.

Career Highlights

Throughout his career, Yan Liu has worked with leading companies in the medical imaging industry, including Canon Medical Systems Corporation and Toshiba Medical Systems Corporation. His work has significantly impacted the development of advanced imaging technologies that improve diagnostic capabilities.

Collaborations

Liu has collaborated with notable colleagues such as Zhou Yu and Jian Zhou, contributing to the advancement of medical imaging technologies through teamwork and shared expertise.

Conclusion

Yan Liu's innovative work in medical imaging technology