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Performance Comparison of Compressed Sensing Algorithms for Accelerating T(1ρ) Mapping of Human Brain
BACKGROUND: 3D-T(1ρ) mapping is useful to quantify various neurologic disorders, but data are currently time-consuming to acquire. PURPOSE: To compare the performance of five compressed sensing (CS) algorithms—spatiotemporal finite differences (STFD), exponential dictionary (EXP), 3D-wavelet transfo...
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| Publicado no: | J Magn Reson Imaging |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8204726/ https://ncbi.nlm.nih.gov/pubmed/33190362 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jmri.27421 |
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