Meeting Banner
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.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here