Abstract #3798

Validation of dynamic contrast-enhanced MRI analyses via virtual MRI simulation on a dynamic digital phantom

Chengyue Wu¹, Ty Easley², Victor Eijkhout³, David A. Hormuth⁴, Federico Pineda⁵, Gregory S. Karczmar⁵, and Thomas Yankeelov^1,4,6,7

¹Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States, ²Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States, ³HPC Software Tools Group, Texas Advanced Computing Center, Austin, TX, United States, ⁴Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, United States, ⁵Department of Radiology, University of Chicago, Chicago, IL, United States, ⁶Department of Diagnostic Medicine, University of Texas at Austin, Austin, TX, United States, ⁷Department of Oncology, University of Texas at Austin, Austin, TX, United States

We have recently developed novel image processing and computational methods to characterize both the morphology and hemodynamics of tumor-associated vessels to assist in the diagnosis of suspicious breast lesions. In this contribution, we employ a dynamic digital phantom of contrast agent perfusion and extravasation to systematically evaluate the sensitivity of our methods to spatial resolution, temporal resolution, and signal-to-noise ratio (SNR). The immediate goal is to use the phantom to determine an acquisition-reconstruction protocol that can implemented in the routine clinical setting, thereby enabling quantitative hemodynamic analysis to be widely available for the characterization of cancer.

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