Liqiang Ren

Title: Innovations in Medical Imaging by Liqiang Ren

Introduction

Liqiang Ren is a notable inventor based in Rochester, MN (US), recognized for his contributions to the field of medical imaging. His innovative work focuses on enhancing the capabilities of computed tomography (CT) systems, particularly through the use of advanced machine learning techniques.

Latest Patents

Liqiang Ren holds a patent for "Ultra-fast-pitch acquisition and reconstruction in helical computed tomography." This patent describes a method where images are reconstructed from data acquired using an ultra-fast-pitch acquisition with a CT system. The technology allows for data acquisition in single-source helical CT, which can significantly improve imaging speed and quality. A trained machine learning algorithm, such as a neural network, is employed to reconstruct images while reducing artifacts associated with insufficient data. The neural network includes customized functional modules that utilize both local and non-local operators, effectively suppressing location- and structure-dependent artifacts. The machine learning algorithm is trained using a specialized loss function that incorporates image-gradient-correlation loss and feature reconstruction loss.

Career Highlights

Liqiang Ren is affiliated with the Mayo Foundation for Medical Education and Research, where he applies his expertise in medical imaging technology. His work has contributed to advancements in the efficiency and accuracy of CT imaging, which is crucial for patient diagnosis and treatment.

Collaborations

Liqiang has collaborated with notable colleagues, including Lifeng Yu and Hao Gong, who share a commitment to advancing medical imaging technologies.

Conclusion

Liqiang Ren's innovative contributions to the field of medical imaging, particularly through his patented technology, demonstrate the potential of combining machine learning with traditional imaging techniques. His work continues to influence the future of medical diagnostics and patient care.