This inventor holds 1 USPTO granted patent. Top assignee: University of California. Active years: 2019.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019
Title: Clark Chen - Innovator in MRI Technology
Introduction
Clark Chen is a prominent inventor based in La Jolla, California. He has made significant contributions to the field of medical imaging, particularly in the automatic segmentation and quantitative parameterization of brain tumors in MRI images. His innovative work has the potential to enhance the accuracy and efficiency of brain tumor analysis.
Latest Patents
Clark Chen holds a patent for his invention titled "Automatic segmentation and quantitative parameterization of brain tumors in MRI." This patent describes techniques, systems, and devices for implementing automatic segmentation and quantitative parameterization of MRI images. The disclosed method includes processing the MRI image to correct any distortions, performing a preliminary segmentation of the MRI image to assign a tissue label of a set of tissue labels to one or more preliminary volumes of voxels, and assigning each voxel of the MRI image a probability of being associated with each tissue label. This innovative approach allows for a more precise assignment of tissue labels based on the greatest probability among the assigned labels.
Career Highlights
Clark Chen is affiliated with the University of California, where he continues to advance research in medical imaging technologies. His work has garnered attention for its potential to improve diagnostic processes in healthcare.
Collaborations
Some of his notable coworkers include Tyler Steed and Bob Carter, who have collaborated with him on various projects related to MRI technology and medical imaging.
Conclusion
Clark Chen's contributions to the field of MRI technology exemplify the impact of innovation in medical diagnostics. His patent for automatic segmentation and quantitative parameterization of brain tumors represents a significant advancement in the analysis of MRI images.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
