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Abstract #3130

A Deep Learning Approach to Synthesize FLAIR Image from T1WI and T2WI

Takashi Abe1 and Noriko Salamon1

1Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States

We synthewized FLAIR images of the brain from T1WI and T2WI by using autoencoder, which is one of the state of the art deep-learning technology. Autoencoder compresses the input information and reproduces the information therefrom. We used T1WI and T2WI as an input and synthewized FLAIR image with high accuracy. This method could be applicable to other body part other than the brain and might synthewize of other MR imaging sequences. This technology seems to be useful to improve clinical diagnosis and computer-aided diagnosis.

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