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Abstract #1428

Model-based T2* autoencoder for Myelin Water Fraction Mapping

Jae Eun Song1 and Dong-Hyun Kim1
1Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea

In this study, we propose a model-based unsupervised learning algorithm to estimate three-component exponential model parameters. The proposed method, model-based T2* autoencoder, is composed of ANN encoder and three-component model decoder. Incorporation of ANN encoder and three-component model decoder provides noise robust estimation of MWF and physically meaningful information at deep latent space.

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