Object-based Rician Noise Estimation for MR Images

Object-based Rician Noise Estimation for MR Images

Conclusions The results on the BrainWeb phantom show that the proposed object-based method is more robust than background-based method. [...]the proposed Rician adaptation of the MAD produces better results than classical MAD estimator, especially for low SNR. [...]experiments on real data show that...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2009-07, Vol.47, p.S81-S81
Hauptverfasser: Coupé, P., Manjón, J.V., Gedamu, E., Arnold, D., Robles, M., Collins, D.L.
Format: Artikel
Sprache:eng
Schlagworte:
Bioengineering
Computer Science
Life Sciences
Medical Imaging
Noise
Normal distribution
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Conclusions The results on the BrainWeb phantom show that the proposed object-based method is more robust than background-based method. [...]the proposed Rician adaptation of the MAD produces better results than classical MAD estimator, especially for low SNR. [...]experiments on real data show that the proposed method accurately estimate the variance of noise.
ISSN:1053-8119
1095-9572
DOI:10.1016/S1053-8119(09)70571-3