The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 23, 2025
Filed:
Oct. 02, 2020
Board of Regents, the University of Texas System, Austin, TX (US);
The University of Chicago, Chicago, IL (US);
Thomas Yankeelov, Austin, TX (US);
Gregory Karczmar, Chicago, IL (US);
Chengyue Wu, Austin, TX (US);
David Hormuth, Austin, TX (US);
Todd A. Oliver, Austin, TX (US);
Robert D. Moser, Austin, TX (US);
Federico Pineda, Chicago, IL (US);
Ty Easley, Chicago, IL (US);
Rina F. Barber, Chicago, IL (US);
Byol Kim, Chicago, IL (US);
Deepa Sheth, Chicago, IL (US);
Aytekin Oto, Chicago, IL (US);
Hiroyuki Abe, Chicago, IL (US);
Milica Medved, Chicago, IL (US);
Xiaobing Fan, Chicago, IL (US);
Aritrick Chatterjee, Chicago, IL (US);
Shiyang Wang, Columbia, MO (US);
Board of Regents, The University of Texas System, Austin, TX (US);
The University of Chicago, Chicago, IL (US);
Abstract
Disclosed are approaches to non-invasively characterize a tumor or other lesion 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, and diffusion-weighted MRI (DW-MRI) scans of the ROI. Vasculature metrics may be determined, and tumor-associated blood flow velocity and/or tumor interstitial pressure may be obtained using the vasculature metrics as inputs to a computational fluid dynamics model. A combination of morphological vascular metrics and functional vascular metrics may be used to characterize the tumor. Malignancy, aggressiveness, treatment response, and other features of tumors or other lesions, in the breast or other regions of a patient, may be characterized through disclosed analyses of MRI data.