Title :
SIGNAL AND ANATOMICAL CONSTRAINTS IN ADAPTIVE FILTERING OF FMRI DATA
Author :
Borga, M. ; Rydell, J.
Author_Institution :
Dept. of Biomed. Eng., Linkoping Univ.
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;
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
DOI :
10.1109/ISBI.2007.356881