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Document type:
Zeitschriftenaufsatz 
Author(s):
Molina-Romero, M.; Gómez, PA.; Albarqouni, S.; Sperl, JI.; Menzel, MI.; Menze, B. 
Title:
Deep learning with synthetic data for free water elimination in diffusion MRI 
Abstract:
Diffusion metrics are typically biased by Cerebrospinal fluid (CSF) contamination. In this work, we present a deep learning based solution to remove the CSF contribution. First, we train an artificial neural network with synthetic data to estimate the tissue volume fraction. Second, we use the resulting network to predict estimates of the tissue volume fraction for real data, and use them to correct for CSF contamination. Results show corrected CSF contribution which, in turn, indicates that the...    »
 
Keywords:
MedicalImaging,IBBM,ISMRM,Deep Learning,Diffusion MRI,CSF,Free-water 
Journal title:
Proc Intl Soc Mag Reson Med 
Year:
2018