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Accelerating 3D-T(1ρ) Mapping of Cartilage Using Compressed Sensing with Different Sparse and Low Rank Models

PURPOSE: To evaluate the feasibility of using Compressed Sensing (CS) to accelerate 3D-T(1ρ) mapping of cartilage and to reduce total scan times without degrading the estimation of T(1ρ) relaxation times. METHODS: Fully-sampled 3D-T(1ρ) datasets were retrospectively undersampled by factors 2–10. CS...

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Dades bibliogràfiques
Publicat a:Magn Reson Med
Autors principals: Zibetti, Marcelo V W, Sharafi, Azadeh, Otazo, Ricardo, Regatte, Ravinder R
Format: Artigo
Idioma:Inglês
Publicat: 2018
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6097944/
https://ncbi.nlm.nih.gov/pubmed/29479738
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.27138
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