Enhanced detection in brain activation maps using a multifiltering approach.
Current methods for detecting activation foci in positron emission tomography difference images include a low pass filtering step aimed at improving the signal-to-noise ratio. However, we show that detection sensitivity depends both on the activation signal and the filter sizes. Therefore, we propose to improve current detection methods by using a multifiltering strategy that is shown to be more sensitive when various kinds of signals are present in the brain activation images.
Groupe d'Imagerie Neurofonctionnelle, Service Hospitalier Frédéric Joliot, DRIPP-CEA, Orsay, France.
J B
JB
Poline
B M
BM
Mazoyer
D001921:Brain / Q000000981:diagnostic imaging* / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004560:Electricity; D006801:Humans; D008297:Male; D012680:Sensitivity and Specificity; D013238:Stereotaxic Techniques; D014055:Tomography, Emission-Computed / Q000379:methods*