This inventor holds 7 USPTO granted patents and 1 published patent application. Top assignee: Washington University. Active years: 2020-2026.
Company Filing History:
Years Active: 2020-2026
Title: Innovations of Inventor Hongyu An
Introduction
Hongyu An is a prominent inventor based in St. Louis, MO (US). He has made significant contributions to the field of medical imaging, particularly in magnetic resonance imaging (MRI) and positron emission tomography (PET). With a total of 7 patents, his work has advanced the capabilities of imaging technologies.
Latest Patents
One of his latest patents is titled "Self-supervised joint image reconstruction and coil sensitivity calibration in parallel MRI without ground truth." This patent describes systems and methods for image reconstruction in parallel MR imaging. The process involves receiving a k-space single-coil measurement dataset, transforming it into an estimated coil sensitivity map (CSM), and ultimately producing a final MR image using an MRI reconstruction module. Notably, the modules utilize deep learning neural networks that are trained without the need for ground truth data.
Another significant patent is "Deep-learning-based T1-enhanced selection of linear coefficients (DL-TESLA) for PET/MR attenuation correction." This patent outlines systems and methods for selecting linear attenuation coefficients using deep learning techniques, enhancing the accuracy of PET/MR attenuation correction.
Career Highlights
Hongyu An is affiliated with Washington University, where he continues to innovate in the field of medical imaging. His research focuses on improving imaging techniques that can lead to better diagnostic outcomes.
Collaborations
He has collaborated with notable colleagues, including Cihat Eldeniz and Ulugbek Kamilov, contributing to advancements in their shared field of expertise.
Conclusion
Hongyu An's work exemplifies the intersection of technology and healthcare, showcasing how innovative inventions can lead to improved medical imaging solutions. His contributions are paving the way for future advancements in the field.