Abstract #4328

Attenuation Correction Map Calculation and Truncation Completion for Breast PET/MR Imaging using Deep Learning

Jacob M Johnson¹, Roberta M Strigel^1,2,3, Leah C Henze Bancroft¹, Amy M Fowler^1,2,3, and Alan B McMillan¹

¹Radiology, University of Wisconsin- Madison, Madison, WI, United States, ²Medical Physics, University of Wisconsin- Madison, Madison, WI, United States, ³Carbone Cancer Center, University of Wisconsin- Madison, Madison, WI, United States

While Positron Emission Tomography (PET) used jointly with Magnetic Resonance (MR) Imaging shows promise in breast imaging, unique constraints require novel solutions to achieve attenuation-corrected images. We propose an algorithm for producing a linear attenuation coefficient map and truncation completion created from MR images using deep learning.

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