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Calibrationless reconstruction of uniformly‐undersampled multi‐channel MR data with deep learning estimated ESPIRiT maps

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To develop a truly calibrationless reconstruction method that derives An Eigenvalue Approach to Autocalibrating Parallel MRI (ESPIRiT) maps from uniformly‐undersampled multi‐channel MR data by deep learning. Click to show full abstract

To develop a truly calibrationless reconstruction method that derives An Eigenvalue Approach to Autocalibrating Parallel MRI (ESPIRiT) maps from uniformly‐undersampled multi‐channel MR data by deep learning.

Keywords: multi channel; uniformly undersampled; undersampled multi; channel data; calibrationless reconstruction; espirit maps

Journal Title: Magnetic Resonance in Medicine
Year Published: 2022

Link to full text (if available)


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