Abstract #2194

Realistic Patient-Based E-Phantoms and Simulation of PET-MR Neuroimage Data

Bryant G. Mersereau¹, Meher R. Juttukonda¹, Hongyu An², and David S. Lalush¹

¹Joint Department of Bioengineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, United States, ²Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States

Acquired PET-MR datasets can be problematic to build due to the high logistical and monetary cost associated with recruiting and scanning patients. We propose a new electronic PET phantom (E-phantom) platform to streamline the PET-MR research process. The proposed platform is shown to produce results consistent with acquired PET data reconstructed on manufacturer software and to provide high configurability and flexibility as a simulation tool.

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