This inventor holds 1 USPTO granted patent. Top assignee: University of California. Active years: 2019.
Company Filing History:
Years Active: 2019
Title: Innovations in Medical Imaging by Tyler Steed
Introduction
Tyler Steed is an accomplished inventor based in San Diego, CA. 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 diagnostic accuracy and improve patient outcomes.
Latest Patents
Tyler Steed holds a patent for "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 comparing each voxel of the MRI image with the preliminary volumes to assign a probability of being associated with each tissue label. Ultimately, each voxel is assigned a tissue label according to its greatest probability among the probabilities for each voxel being associated with the set of tissue labels. Tyler's innovative approach is encapsulated in his 1 patent.
Career Highlights
Tyler Steed is affiliated with the University of California, where he continues to advance his research in medical imaging. His work is characterized by a commitment to improving the methodologies used in MRI imaging, which is crucial for accurate diagnosis and treatment planning.
Collaborations
Tyler collaborates with notable colleagues, including Clark Chen and Bob Carter. Their combined expertise contributes to the development of cutting-edge technologies in the medical imaging field.
Conclusion
Tyler Steed's contributions to medical imaging through his innovative patent demonstrate his dedication to enhancing healthcare technology. His work not only reflects his expertise but also has the potential to significantly impact patient care in the future.