DEEP RESIDUAL INCEPTION ENCODER-DECODER NETWORK FOR AMYLOID PET HARMONIZATION

Abstract: using deep learning, imaging harmonization among images produced with differing pet tracers is achieved. a method may include providing an original pet image of the brain using an original pet tracer, providing a target pet tracer, and converting, using a deep learning neural network, the original pet image into a target pet image simulating the image that would be obtained had the target pet tracer been used.

Inventor(s): Fei Gao, Yi Su, Jay Shah, Teresa Wu

CPC Classification: A61B6/037 ({Emission tomography})

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