The University of Chicago

The University of Texas System

Hiroyuki Abe

Aytekin Oto

Gillian M Newstead

Gregory S Karczmar

Robert D Moser

Thomas Yankeelov

Ty Easley

Xiaobing Fan

Chengyue Wu

Byol Kim

David Hormuth

Todd A Oliver

Gregory Karczmar

Aritrick Chatterjee

Milica Medved

Shiyang Wang

Federico D Pineda

Rina F Barber

Deepa Sheth

Federico Pineda

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.

Characterization of lesions via determination of vascular metrics using MRI data

A computing device determines a contrast medium uptake time using magnetic resonance imaging data. Image data constructed from data generated by a magnetic resonance imaging (MRI) machine of a subject is read. A representation computed from the read image data is presented on a display device. Baseline artery locations identified within the presented representation that are associated with a baseline artery are received. A first time-of-arrival (TOA) of contrast medium into the baseline artery is determined using the received baseline artery locations and the read image data. For a plurality of locations within the read image data excluding the baseline artery locations, a second TOA of the contrast medium into a respective location relative to the determined first TOA is determined using the read image data, and the determined second TOA is stored in association with the respective location to assist in lesion identification for the subject.

Contrast medium uptake time computation using magnetic resonance imaging

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Chicago, IL, United States of America

Hiroyuki Abe