Abstract #4338

In silico Platform for Evaluation of Constrained Reconstruction in DCE-MRI

Jorge E Jimenez¹, Leah C Henze Bancroft², Roberta Strigel^1,2,3, Kevin M Johnson¹, Scott B Reeder^1,2,4,5,6, and Walter F Block^1,2,4

¹Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, ²Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, ³Carbone Cancer Center, University of Wisconsin-Madisonsin, Madison, WI, United States, ⁴Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, ⁵Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, ⁶Department of Emergency Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States

In this work, we show the value of a digital phantom to evaluate a dynamic reconstruction. We evaluated the fidelity of the reconstruction using SSIM measurements from simulations and three patients to support conclusions derived from the digital phantom. The highly configurative characteristics of the in-silico platform provide a tool for other researchers to test, evaluate and compare their own acquisition and reconstruction techniques.

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