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Abstract #0988

Deep Model-based MR Parameter Mapping Network (DOPAMINE) for Fast MR Reconstruction

Yohan Jun1, Hyungseob Shin1, Taejoon Eo1, Taeseong Kim1, and Dosik Hwang1
1Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea

In this study, a deep model-based MR parameter mapping network termed as “DOPAMINE” was developed to reconstruct MR parameter maps from undersampled multi-channel k-space data. It consists of two models: 1) MR parameter mapping model which estimates initial parameter maps from undersampled k-space data with a deep convolutional neural network (CNN-based mapping), 2) parameter map reconstruction model which removes aliasing artifacts with a deep CNN (CNN-based reconstruction) and interleaved data consistency layer by embedded MR model-based optimization procedure.

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