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• W2330393348 abstract "Background Cardiac MR (CMR) has emerged as the gold standard for assessing right-ventricular (RV) size and function with cine acquisitions. However, dyspnea often accompanies RV dysfunction, limiting patient ability to breathhold and consequently image quality at CMR. The application of a novel iterative reconstruction technique to segmented CMR cine acquisitions may enable higher acceleration factors, shortening image acquisitions, while maintaining image quality for RV assessment. The purpose of this study is to evaluate the clinical utility of a prototype iterative reconstruction algorithm utilizing spatio-temporal L1-regularization (iteratively reconstructed Sparse-SENSE) in the quantitative assessment of RV systolic function." @default.
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• W2330393348 date "2016-01-27" @default.
• W2330393348 modified "2023-09-27" @default.
• W2330393348 title "Right-ventricular assessment using a segmented cine acquisition employing iterative SENSE reconstruction with spatio-temporal L1 regularization: Initial clinical experience" @default.
• W2330393348 doi "https://doi.org/10.1186/1532-429x-18-s1-w18" @default.
• W2330393348 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5032061" @default.
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