$N$-Dimensional Tensor Completion for Nuclear Magnetic Resonance Relaxometry

DOI10.1137/18M1193037OpenAlexW3008857101MaRDI QIDQ5108470

Hasan Celik, Ariel Hafftka, Wojciech Czaja, Richard G. Spencer

Publication date: 4 May 2020

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/18m1193037

zbMATH Keywords

nuclear magnetic resonancecompressed sensingrestricted isometry propertytensor completionnonuniform samplingmultidimensional inverse problems

Mathematics Subject Classification ID

Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Numerical methods for inverse problems for integral equations (65R32) Matrix completion problems (15A83)

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