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Abstract #4337

GAN based continuous pseudo-CT computation for PET/MR attenuation correction and MR-guided radiation therapy planning

Sandeep Kaushik1, Dattesh Shanbhag1, Andrew Leynes2, Cristina Cozzini3, Anuprriya Gogna1, Peder Larson2, and Florian Wiesinger3

1GE Global Research, Bangalore, India, 2UCSF, San Fransisco, CA, United States, 3GE Healthcare, Munich, Germany

Generation of pseudo CTs from MR images is of interest for applications such as PET/MR attenuation-correction (AC) and MR-guided radiation therapy planning (MRgRTP). In this work, demonstrate a DL method that harnesses the style transfer capability of GAN to compute qualitatively and quantitatively accurate continuous density bone pCT images from Dixon based LAVA-Flex MRI sequence which has a short acquisition time. The method is evaluated for PET/MR attenuation correction.

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