Hao Zhang

Title: Innovations in Medical Imaging by Hao Zhang

Introduction

Hao Zhang is an accomplished inventor based in St. Louis, MO (US). He has made significant contributions to the field of medical imaging, particularly through his innovative approaches to image estimation. His work focuses on enhancing the quality of magnetic resonance (MR) images, which is crucial for accurate medical diagnoses and treatments.

Latest Patents

Hao Zhang holds 1 patent for his groundbreaking invention titled "ML-based methods for pseudo-CT and HR MR image estimation." This patent describes a computer-implemented method that transforms low-resolution MR images into high-resolution MR images using a deep convolutional neural network (CNN)-based MRI super-resolution (SR) network. Additionally, it outlines a method for converting MR images into pseudo-CT (sCT) images using a deep CNN-based sCT network. The invention also includes a MR image-guided radiation treatment system that utilizes a computing device to implement these networks, ultimately producing a radiation plan based on the resulting high-resolution MR and sCT images.

Career Highlights

Hao Zhang is affiliated with Washington University, where he continues to advance research in medical imaging technologies. His work is instrumental in improving the accuracy and effectiveness of radiation treatments, thereby enhancing patient care.

Collaborations

Hao collaborates with notable colleagues, including Chunjoo (Justin) Park and Sasa Mutic. Their combined expertise contributes to the development of innovative solutions in the field of medical imaging.

Conclusion

Hao Zhang's contributions to medical imaging through his patented methods demonstrate the potential of machine learning in healthcare. His work not only enhances image quality but also plays a vital role in improving treatment planning for patients.