Xiaoping Wu

Title: Innovations in Magnetic Resonance Imaging by Xiaoping Wu

Introduction

Xiaoping Wu is a prominent inventor based in Shoreview, MN (US), known for her significant contributions to the field of magnetic resonance imaging (MRI). With a total of 4 patents, she has developed innovative techniques that enhance the quality and efficiency of MRI technology.

Latest Patents

One of her latest patents is titled "Parallel transmission magnetic resonance imaging with a single transmission channel RF coil using deep learning." This invention focuses on generating magnetic resonance images with improved quality, comparable to those obtained using parallel radio frequency (RF) transmission techniques. By employing a deep-learning framework, Wu's method trains a deep neural network to convert images acquired with single transmission hardware into pTx-like images, effectively reducing signal variations and dropouts caused by B1+ inhomogeneities.

Another notable patent is "Multiband RF/MRI pulse design for multichannel transmitter." This method involves designing multichannel, multiband RF pulses for MRI systems. It includes determining RF amplitude and phase modulations for each channel in a multichannel RF coil, optimizing an objective function that accounts for the spatial sensitivity profile and magnetic field map for each excitation band.

Career Highlights

Xiaoping Wu is affiliated with the University of Minnesota, where she continues to advance her research in MRI technology. Her work has garnered attention for its innovative approach to improving imaging techniques, making significant strides in the medical imaging field.

Collaborations

Wu collaborates with esteemed colleagues, including Kamil Ugurbil and Pierre-Francois Van De Moortele, contributing to a dynamic research environment that fosters innovation and discovery.

Conclusion

Xiaoping Wu's contributions to magnetic resonance imaging exemplify the impact of innovative thinking in medical technology. Her patents reflect a commitment to enhancing imaging quality and efficiency, paving the way for advancements in healthcare.