David Y Zeng

Title: The Innovative Contributions of David Y. Zeng

Introduction

David Y. Zeng is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of magnetic resonance imaging (MRI) through his innovative patents. With a total of three patents to his name, Zeng's work focuses on enhancing image quality and processing techniques in MRI technology.

Latest Patents

One of Zeng's latest patents is titled "Deep learning method for nonstationary image artifact correction." This method addresses non-stationary off-resonance image artifacts in MRI. The patented technology involves a magnetic resonance imaging apparatus that performs imaging acquisition using non-Cartesian trajectories. It processes these acquisitions to produce a final image by reconstructing a complex-valued image and employing a convolutional neural network (CNN) to correct for the artifacts. The CNN utilized is preferably a residual network with multiple residual layers.

Another notable patent is "Reinforcement learning for online sampling trajectory optimization for magnetic resonance imaging." This invention allows an MRI scan to perform acquisitions using an undersampling pattern to generate undersampled k-space data. The process includes aggregating this data, reconstructing an image, and updating the undersampling pattern using a deep reinforcement learning technique. This technique is defined by an environment, reward, and agent, where the environment comprises an MRI reconstruction technique, the reward is based on an image quality metric, and the agent consists of a deep convolutional neural network with fully connected layers. These steps are repeated to produce a final reconstructed MRI image.

Career Highlights

David Y. Zeng is affiliated with Leland Stanford Junior University, where he continues to advance research in MRI technology. His work has garnered attention for its innovative approach to solving complex imaging challenges.

Collaborations

Zeng collaborates with esteemed colleagues, including Dwight G. Nishimura and Shreyas S. Vasanawala. Their combined expertise contributes to the advancement of MRI technology and its applications in medical imaging.

Conclusion

David Y. Zeng's contributions to the field of magnetic resonance imaging through his innovative patents demonstrate his commitment to improving medical imaging techniques. His work not only enhances image quality but also paves the way for future advancements in MRI technology.