Improved Complex Convolutional Neural Network Based on SPIRiT and Dense Connection for Parallel MRI Reconstruction

Improved Complex Convolutional Neural Network Based on SPIRiT and Dense Connection for Parallel MRI Reconstruction

To accelerate the data acquisition speed of magnetic resonance imaging (MRI) and improve the reconstructed MR images’ quality, we propose a parallel MRI reconstruction model (SPIRiT-Net), which combines the iterative self-consistent parallel imaging reconstruction model (SPIRiT) with the cascaded co...

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Bibliographic Details
Main Authors:	Jizhong Duan, Xinmin Ren
Format:	Article
Language:	English
Published:	Wiley 2024-01-01
Series:	IET Signal Processing
Online Access:	http://dx.doi.org/10.1049/2024/7006156
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