This inventor holds 1 USPTO granted patent. Top assignee: Leland Stanford Junior University. Active years: 2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017
Title: Innovations of Kangrong Zhu in MRI Technology
Introduction
Kangrong Zhu is a notable inventor based in Stanford, California. He has made significant contributions to the field of medical imaging, particularly in magnetic resonance imaging (MRI) technology. His innovative approach has led to advancements that enhance the quality and efficiency of MRI scans.
Latest Patents
Kangrong Zhu holds a patent for a method titled "Multislice acquisition with incoherent aliasing." This patent describes a technique for producing images of a subject using an MRI system. The method involves the use of a radio frequency (RF) excitation field in conjunction with a slice-select magnetic gradient field. By manipulating the RF field or magnetic field gradient along a slice-select direction, the technique imparts a sequence of phase shifts to the formed echo signals. This results in image data that is incoherently aliased across the field-of-view of the current slice location, allowing for the reconstruction of multiple images of the subject.
Career Highlights
Kangrong Zhu is affiliated with Leland Stanford Junior University, where he continues to engage in research and development in the field of MRI technology. His work has been instrumental in pushing the boundaries of what is possible in medical imaging.
Collaborations
Kangrong Zhu has collaborated with esteemed colleagues such as Adam Bruce Kerr and John Mark Pauly. These collaborations have further enriched his research and contributed to the advancements in MRI technology.
Conclusion
Kangrong Zhu's innovative contributions to MRI technology exemplify the impact of dedicated research and development in the medical field. His patent on multislice acquisition with incoherent aliasing represents a significant step forward in imaging techniques.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
