Meeting Banner
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. Moser2,4, and Thomas E. Yankeelov1,2,5,6
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.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here