Meeting Banner
Abstract #4458

Quantitative analysis of ultra-fast DCE-MRI to identify vascular inputs and outputs in breast tumors

Chengyue Wu1, Federico Pineda2, Gregory Karczmar2, and Thomas Yankeelov1

1Department of Biomedical Engineering, the University of Texas at Austin, Austin, TX, United States, 2Department of Radiology, University of Chicago, Chicago, IL, United States

Identifying and characterizing vascular inputs and outputs in tumors would be useful in both the diagnostic and prognostic settings. In this contribution, we propose a novel methodology that combines vessel detection with analysis of ultra-fast DCE-MRI data to integrate both morphological and functional information of tumor associated vessels to identify those that serve as inputs and outputs to breast tumors.

This abstract and the presentation materials are available to members only; a login is required.

Join Here