DocumentCode :
2520362
Title :
SIGNAL AND ANATOMICAL CONSTRAINTS IN ADAPTIVE FILTERING OF FMRI DATA
Author :
Borga, M. ; Rydell, J.
Author_Institution :
Dept. of Biomed. Eng., Linkoping Univ.
fYear :
2007
fDate :
12-15 April 2007
Firstpage :
432
Lastpage :
435
Abstract :
An adaptive filtering method for fMRI data is presented. The method is related to bilateral filtering, but with a range filter that takes into account local similarities in signal as well as in anatomy. Performance is demonstrated on simulated and real data. It is shown that using both these similarity constraints give better performance than if only one of them is used, and clearly better than standard low-pass filtering.
Keywords :
adaptive filters; biomedical MRI; brain; medical signal detection; adaptive filtering; bilateral filtering; fMRI; low-pass filtering; Adaptive filters; Filtering; Kernel; Low pass filters; Magnetic noise; Magnetic resonance imaging; Magnetic separation; Shape; Spatial filters; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0672-2
Electronic_ISBN :
1-4244-0672-2
Type :
conf
DOI :
10.1109/ISBI.2007.356881
Filename :
4193315
Link To Document :
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