Company Filing History:
Years Active: 2011-2012
Title: Yong Ming Dai: Innovator in Magnetic Resonance Imaging Technology
Introduction
Yong Ming Dai is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of magnetic resonance imaging (MRI) technology. With a total of 2 patents, his work focuses on improving the efficiency and accuracy of MRI processes.
Latest Patents
Yong Ming Dai's latest patents include innovative methods that enhance MRI technology. The first patent, titled "Method for automatically selecting region of interest covering heated area," describes a technique for automatically identifying and demarcating a heated area during MRI data acquisition. This method utilizes phase data to ensure that the heated area is completely included in the region of interest, thereby eliminating the instability associated with manual selection.
The second patent, "Method and apparatus for removing artifacts during magnetic resonance imaging," outlines a process for generating 3D data sets through scanning. This method involves creating a weighted sum of 2D data and implementing maximum intensity projection to produce a final image that minimizes artifacts. These advancements significantly improve the quality of MRI imaging.
Career Highlights
Yong Ming Dai is currently employed at Siemens Aktiengesellschaft, a leading global technology company. His role involves developing cutting-edge technologies that enhance medical imaging capabilities. His expertise in MRI technology has positioned him as a key contributor to advancements in the field.
Collaborations
Throughout his career, Yong Ming Dai has collaborated with notable colleagues, including Xiao Dong Zhou and Ke Wang. These partnerships have fostered innovation and have led to the development of impactful technologies in the medical imaging sector.
Conclusion
Yong Ming Dai's contributions to magnetic resonance imaging technology demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of the complexities involved in MRI processes, paving the way for future advancements in medical imaging.