Company Filing History:
Years Active: 2016-2024
Title: Noam Harel: Innovator in Brain Region Analysis
Introduction
Noam Harel is a prominent inventor based in Minnetonka, MN (US). He has made significant contributions to the field of brain region analysis, particularly through his innovative methods for predicting brain region locations and shapes. With a total of 5 patents to his name, Harel's work is paving the way for advancements in medical imaging and deep brain stimulation procedures.
Latest Patents
One of Harel's latest patents is a method for brain region location and shape prediction. This volumetric segmentation method is specifically designed for analyzing brain regions, focusing on areas such as the basal ganglia and the subthalamic nucleus (STN). The invention serves to enhance visualization and localization within the sub-cortical region of the basal ganglia, which is crucial for predicting regions of interest in deep brain stimulation procedures. Harel employs a statistical shape model to account for variation modes of the STN and its predictors, utilizing high-quality training sets obtained from advanced 7T MR imaging. The accuracy of this prediction method is validated by measuring shape similarity and assessing errors in position, size, and orientation between manually segmented STN and its predicted counterpart.
Career Highlights
Throughout his career, Noam Harel has worked with notable companies such as Owl Navigation, Inc. and Surgical Information Sciences, Inc. His expertise in brain region analysis has positioned him as a key figure in the development of innovative medical technologies.
Collaborations
Harel has collaborated with esteemed professionals in his field, including Guillermo Sapiro and Yuval Duchin. These partnerships have further enriched his research and contributed to the advancement of his inventions.
Conclusion
Noam Harel's contributions to brain region analysis through his innovative patents are making a significant impact in the medical field. His work not only enhances our understanding of brain structures but also improves the efficacy of deep brain stimulation procedures.