Company Filing History:
Years Active: 2025
Title: Deepa Sheth: Innovator in MRI Data Analysis
Introduction
Deepa Sheth is a prominent inventor based in Chicago, IL (US), known for her significant contributions to the field of medical imaging. She has developed innovative methods for characterizing tumors and lesions using advanced MRI data analysis techniques. Her work has the potential to enhance the diagnosis and treatment of various medical conditions.
Latest Patents
Deepa Sheth holds a patent titled "Characterization of lesions via determination of vascular metrics using MRI data." This patent discloses approaches to non-invasively characterize tumors or other lesions in a region of interest (ROI) based on various analyses of magnetic resonance imaging (MRI) data. The MRI data may correspond to ultrafast dynamic contrast-enhanced MRI (DCE-MRI) and high spatial resolution DCE-MRI scans, as well as diffusion-weighted MRI (DW-MRI) scans of the ROI. The patent outlines methods for determining vasculature metrics and obtaining tumor-associated blood flow velocity and/or tumor interstitial pressure using these metrics as inputs to a computational fluid dynamics model. A combination of morphological and functional vascular metrics is utilized to characterize tumors, providing insights into malignancy, aggressiveness, treatment response, and other features of lesions.
Career Highlights
Deepa has worked with esteemed institutions such as the University of Texas System and the University of Chicago. Her experience in these organizations has allowed her to collaborate with leading experts in the field and contribute to groundbreaking research in medical imaging.
Collaborations
Some of her notable coworkers include Thomas Yankeelov and Gregory Karczmar, who have played significant roles in her research endeavors.
Conclusion
Deepa Sheth's innovative work in MRI data analysis exemplifies the impact of technology on medical diagnostics. Her contributions are paving the way for improved understanding and treatment of tumors and lesions, ultimately benefiting patient care.