Robust water-fat separation for multi-echo gradient-recalled echo sequence using convolutional neural network.

Journal: Magnetic resonance in medicine

PMID: 30790344

Abstract

PURPOSE: To accurately separate water and fat signals for bipolar multi-echo gradient-recalled echo sequence using a convolutional neural network (CNN).

Authors

JaeJin Cho

Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.
HyunWook Park

Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.

Keywords

Adipose Tissue Algorithms Ankle Body Water Head Humans Image Processing, Computer-Assisted Knee Magnetic Resonance Imaging Neural Networks, Computer

External Resources

View on PubMed Access via DOI PubMed (30790344)

Robust water-fat separation for multi-echo gradient-recalled echo sequence using convolutional neural network.

Abstract

Authors

Keywords

External Resources

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