Austin, TX, United States of America

David Hormuth


Average Co-Inventor Count = 17.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: David Hormuth: Innovator in MRI Data Analysis

Introduction

David Hormuth is a notable inventor based in Austin, TX (US). He has made significant contributions to the field of medical imaging, particularly in the characterization of lesions using advanced MRI techniques. His innovative approach has the potential to enhance the diagnosis and treatment of tumors.

Latest Patents

David Hormuth holds a patent titled "Characterization of lesions via determination of vascular metrics using MRI data." This patent discloses methods to non-invasively characterize tumors or other lesions in a region of interest (ROI) by analyzing magnetic resonance imaging (MRI) data. The techniques involve ultrafast dynamic contrast-enhanced MRI (DCE-MRI) and diffusion-weighted MRI (DW-MRI) scans. By determining vasculature metrics, the patent outlines how tumor-associated blood flow velocity and interstitial pressure can be assessed using computational fluid dynamics models. This innovative approach allows for the characterization of malignancy, aggressiveness, treatment response, and other features of tumors in various regions of a patient.

Career Highlights

Throughout his career, David Hormuth has worked with prestigious institutions, including the University of Texas System and the University of Chicago. His work has focused on advancing the understanding of tumor characteristics through innovative imaging techniques.

Collaborations

David has collaborated with esteemed colleagues such as Thomas Yankeelov and Gregory Karczmar. Their joint efforts have contributed to the development of advanced methodologies in MRI data analysis.

Conclusion

David Hormuth's contributions to the field of MRI data analysis exemplify the impact of innovative thinking in medical imaging. His patent and collaborative efforts continue to pave the way for advancements in tumor characterization and treatment.

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