Company Filing History:
Years Active: 2024
Title: Innovations by Fang Yong Sun in Medical Imaging Technology
Introduction
Fang Yong Sun is an accomplished inventor based in Shenzhen, China. She has made significant contributions to the field of medical imaging technology, particularly in the area of MRI systems. Her innovative approach has led to the development of a unique method that enhances the efficiency of scan preparation.
Latest Patents
Fang Yong Sun holds a patent for a "Method and apparatus based on 3D camera for automated measurement preparation in MRI system." This patent relates to techniques for scan preparation in a medical imaging system. The technique includes triggering a 3D camera to acquire a 2D color and depth image of a patient when the patient bed is at an origin position. The image is then input into a pre-trained first body information model to obtain position information of multiple body feature site points. Furthermore, it calculates position information of multiple candidate scanning regions in the patient bed coordinate system. The technique also provides the position information of these candidate scanning regions to a medical imaging application apparatus. This allows the apparatus to determine the position information of a current scanning region in the patient bed coordinate system and control the patient bed to move the current scanning region to the scanning center of a medical imaging device.
Career Highlights
Fang Yong Sun is currently employed at Siemens Healthineers AG, where she continues to innovate in the field of medical technology. Her work focuses on improving the accuracy and efficiency of medical imaging systems, which is crucial for patient diagnosis and treatment.
Collaborations
Fang has collaborated with notable colleagues, including Jun Xiong and Kun Zhu, who contribute to her innovative projects and research efforts.
Conclusion
Fang Yong Sun's contributions to medical imaging technology exemplify the impact of innovation in healthcare. Her patented methods enhance the efficiency of MRI systems, ultimately benefiting patient care and diagnosis.