Austin, TX, United States of America

Chengyue Wu

USPTO Granted Patents = 1 

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: Innovations in MRI Data Analysis by Chengyue Wu

Introduction

Chengyue Wu is an accomplished 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

Chengyue Wu holds a patent titled "Characterization of lesions via determination of vascular metrics using MRI data." This patent discloses methods for non-invasively characterizing tumors or other lesions in a region of interest (ROI) through various analyses of magnetic resonance imaging (MRI) data. The techniques involve ultrafast dynamic contrast enhanced MRI (DCE-MRI) and high spatial resolution DCE-MRI scans, as well as diffusion-weighted MRI (DW-MRI) scans. By determining vasculature metrics, the patent outlines how tumor-associated blood flow velocity and tumor interstitial pressure can be obtained using these metrics as inputs to a computational fluid dynamics model. The combination of morphological and functional vascular metrics allows for a comprehensive characterization of tumors, including their malignancy, aggressiveness, and treatment response.

Career Highlights

Chengyue Wu has worked with prestigious institutions, including the University of Texas System and the University of Chicago. His work has been instrumental in advancing the understanding of tumor dynamics through innovative imaging techniques.

Collaborations

Chengyue has collaborated with notable professionals in his field, including Thomas Yankeelov and Gregory Karczmar. Their joint efforts have contributed to the development of advanced methodologies in MRI data analysis.

Conclusion

Chengyue Wu's innovative work in MRI data analysis represents a significant advancement in the medical imaging field. His contributions have the potential to improve the characterization and treatment of tumors, ultimately benefiting patient care.

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