Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting.

Nunez-Gonzalez, L; Nagtegaal, M A; Poot, D H J; de Bresser, J; van Osch, M J P; Hernandez-Tamames, J A; Vos, F M

Nunez-Gonzalez, L; Nagtegaal, M A; Poot, D H J; de Bresser, J; van Osch, M J P; Hernandez-Tamames, J A; Vos, F M.

Affiliation

Nunez-Gonzalez L; Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands. Electronic address: m.a.nagtegaal@tudelft.nl.
Nagtegaal MA; Department of Imaging Physics, Delft University of Technology, Delft, the Netherlands.
Poot DHJ; Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands.
de Bresser J; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
van Osch MJP; C.J. Gorter Center for MRI, Radiology Department, Leiden University Medical Center, Leiden, the Netherlands.
Hernandez-Tamames JA; Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands; Department of Imaging Physics, Delft University of Technology, Delft, the Netherlands.
Vos FM; Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, the Netherlands; Department of Imaging Physics, Delft University of Technology, Delft, the Netherlands.

Neuroimage ; 263: 119638, 2022 11.

Article in En | MEDLINE | ID: mdl-36122685

Subject(s)

Brain; White Matter; Humans; Brain/diagnostic imaging; Magnetic Resonance Imaging/methods; Gray Matter/diagnostic imaging; White Matter/diagnostic imaging; Cerebral Cortex; Phantoms, Imaging; Image Processing, Computer-Assisted/methods

Key words

Accuracy; Brain; Multi-component MR Fingerprinting; Quantitative MRI; Repeatability; Segmentation

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