Low-rank plus sparse joint smoothing model based on tensor singular value decomposition for dynamic MRI reconstruction

Dynamic magnetic resonance imaging (DMRI) is an important medical imaging modality, but the long imaging time limits its practical applications. This paper proposes a low-rank plus sparse joint smoothing model based on tensor singular value decomposition (T-SVD) to reconstruct DMR images from highly...

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Veröffentlicht in:	Magnetic resonance imaging 2023-12, Vol.104, p.52-60
Hauptverfasser:	Liu, Xiaotong, He, Jingfei, Mi, Chenghu, Zhang, Xiaoyue
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Dynamic magnetic resonance imaging Heart - diagnostic imaging Humans Image Processing, Computer-Assisted - methods Low rank plus sparsity model Magnetic Resonance Imaging - methods Smoothness Tensor singular value decomposition Tensor total variation constraint
Online-Zugang:	Volltext
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