Data-driven algorithm for myelin water imaging: Probing subvoxel compartmentation based on identification of spatially global tissue features.

Omer, Noam; Galun, Meirav; Stern, Neta; Blumenfeld-Katzir, Tamar; Ben-Eliezer, Noam

Omer, Noam; Galun, Meirav; Stern, Neta; Blumenfeld-Katzir, Tamar; Ben-Eliezer, Noam.

Affiliation

Omer N; The Department of Biomedical Engineering, Tel-Aviv University, Tel Aviv, Israel.
Galun M; Department of Computer Science and Applied Mathematics, Weitzman Institute of Science, Rehovot, Israel.
Stern N; The Department of Biomedical Engineering, Tel-Aviv University, Tel Aviv, Israel.
Blumenfeld-Katzir T; The Department of Biomedical Engineering, Tel-Aviv University, Tel Aviv, Israel.
Ben-Eliezer N; The Department of Biomedical Engineering, Tel-Aviv University, Tel Aviv, Israel.

Magn Reson Med ; 87(5): 2521-2535, 2022 05.

Article in En | MEDLINE | ID: mdl-34958690

Subject(s)

Myelin Sheath; Water; Algorithms; Brain/diagnostic imaging; Humans; Magnetic Resonance Imaging/methods; Myelin Sheath/chemistry; Water/chemistry

Key words

multicomponent T2 relaxation analysis; myelin water fraction; myelin water imaging; subvoxel compartmentation

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Water / Myelin Sheath Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Type: Article Affiliation country: Israel

Fulltext

XML

PubMed Links

Search on Google