Abstract #1041

A dynamic digital phantom with realistic vasculature and perfusion based on MR histology

Chengyue Wu¹, David A. Hormuth², Federico Pineda³, Gregory S. Karczmar³, Robert D. Moser^2,4, and Thomas E. Yankeelov^1,2,5,6

¹Department of Biomedical Engineering, University of Texas at Austin, Austin, TX, United States, ²Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, United States, ³Department of Radiology, University of Chicago, Chicago, IL, United States, ⁴Department of Mechanical Engineering, University of Texas at Austin, Austin, TX, United States, ⁵Department of Diagnostic Medicine, University of Texas at Austin, Austin, TX, United States, ⁶Department of Oncology, University of Texas at Austin, Austin, TX, United States

Digital phantoms are valuable tools for developing or optimizing new imaging techniques, devices, and analyses. In this contribution, we seek to develop a dynamic digital phantom which contains a detailed representation of vascular structure, tissue properties, and perfusion based on high-resolution MRI data of a rat kidney (courtesy of the Duke Center for In Vivo Microscopy). This dynamic digital phantom can be used to simulate perfusion and diffusion MRI techniques, and systematically evaluate new magnetic resonance imaging acquisition reconstruction/image processing techniques.

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