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Real-Time Cardiac Cine MRI with Residual Convolutional Recurrent Neural Network

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Document pages: 7 pages

Abstract: Real-time cardiac cine MRI does not require ECG gating in the dataacquisition and is more useful for patients who can not hold their breaths orhave abnormal heart rhythms. However, to achieve fast image acquisition,real-time cine commonly acquires highly undersampled data, which imposes asignificant challenge for MRI image reconstruction. We propose a residualconvolutional RNN for real-time cardiac cine reconstruction. To the best of ourknowledge, this is the first work applying deep learning approach to Cartesianreal-time cardiac cine reconstruction. Based on the evaluation fromradiologists, our deep learning model shows superior performance thancompressed sensing.

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