A comparison of five methods for signal intensity standardization in MRI

Informatik aktuell

Volumn , Issue , 2008, Pages 36-40

  Bergeest, Jan Philip ^a   Jäger, Florian ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; IMAGE ACQUISITION; IMAGE SEGMENTATION; STANDARDIZATION;

CLINICAL ROUTINE; HOUNSFIELD UNITS; IMAGE INTENSITIES; INTENSITY SCALE; KULLBACK LEIBLER DIVERGENCE; QUALITY MEASURES; REGISTRATION METHODS; SIGNAL INTENSITIES;

MAGNETIC RESONANCE IMAGING;

EID: 84879962495     PISSN: 1431472X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-78640-5_8     Document Type: Conference Paper

References (6)

1. Jäger F, Deuerling-Zheng Y, Frericks B, et al. A new method for MRI intensity standardization with application to lesion detection in the brain. In: Kobbelt L, et al, editors. Vision Modeling and Visualization. Köln: Aka GmBH; 2006. p. 269-76.
2. Nyúl LG, Udupa JK, Zhang X. New variants of a method of MRI scale standardization. IEEE Trans Med Imaging. 2000;19(2):143-50.
3. Hellier P. Consistent intensity correction of MR images. Proc ICIP. 2003;1:1109-12.
4. Cox IJ, Roy S, Hingorani SL. Dynamic histogram warping of image pairs for constant image brightness. Proc ICIP. 1995; p. 2366-9.
5. Weisenfeld N, Warfield S. Normalization of joint image-intensity statistics in MRI using the Kullback-Leibler divergence. Proc IEEE Int Symp Biomed Imaging. 2004;1:101-4.
6. Jäger F, Nyul L, Frericks B, et al. Whole body MRI intensity standardization. Proc BVM. 2007; p. 459-63.