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Accelerating Dynamic Magnetic Resonance Imaging (MRI) for Lung Tumor Tracking Based on Low-Rank Decomposition in the Spatial–Temporal Domain: A Feasibility Study Based on Simulation and Preliminary Prospective Undersampled MRI

PURPOSE: To evaluate a low-rank decomposition method to reconstruct down-sampled k-space data for the purpose of tumor tracking. METHODS AND MATERIALS: Seven retrospective lung cancer patients were included in the simulation study. The fully-sampled k-space data were first generated from existing 2-...

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Detalhes bibliográficos
Main Authors: Sarma, Manoj, Hu, Peng, Rapacchi, Stanislas, Ennis, Daniel, Thomas, Albert, Lee, Percy, Kupelian, Patrick, Sheng, Ke
Formato: Artigo
Idioma:Inglês
Publicado em: 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3941205/
https://ncbi.nlm.nih.gov/pubmed/24412430
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijrobp.2013.11.217
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