2017
DOI: 10.1016/j.mri.2016.11.013
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Iterative reconstruction of radially-sampled 31 P bSSFP data using prior information from 1 H MRI

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Cited by 4 publications
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“…Constantinides et al first proposed an iterative reconstruction algorithm to enhance low‐resolution sodium MRI by incorporating high‐resolution hydrogen MRI before the onset of CS 76 . While CS exploits the sparsity of non‐hydrogen MRI images to accelerate data acquisition, incorporating prior anatomical knowledge from hydrogen MRI into the CS reconstruction algorithm provides further opportunities to improve image quality for non‐hydrogen MRI, such as phosphorus ( 31 P), 77 hyperpolarized helium ( 3 He), 78 and fluorine ( 19 F) 79 . Gnahm et al first introduced this concept to CS sodium MRI by using a hydrogen support region constraint 32 and further advanced it by adding an edge‐weighting‐based constraint 31 to exploit hydrogen anatomical information.…”
Section: Advanced Techniques In Compressed Sensing‐based Sodium Mrimentioning
confidence: 99%
“…Constantinides et al first proposed an iterative reconstruction algorithm to enhance low‐resolution sodium MRI by incorporating high‐resolution hydrogen MRI before the onset of CS 76 . While CS exploits the sparsity of non‐hydrogen MRI images to accelerate data acquisition, incorporating prior anatomical knowledge from hydrogen MRI into the CS reconstruction algorithm provides further opportunities to improve image quality for non‐hydrogen MRI, such as phosphorus ( 31 P), 77 hyperpolarized helium ( 3 He), 78 and fluorine ( 19 F) 79 . Gnahm et al first introduced this concept to CS sodium MRI by using a hydrogen support region constraint 32 and further advanced it by adding an edge‐weighting‐based constraint 31 to exploit hydrogen anatomical information.…”
Section: Advanced Techniques In Compressed Sensing‐based Sodium Mrimentioning
confidence: 99%