Enhanced Detection in Brain Activation Maps Using a Multifiltering Approach | Zendy

JeanBaptiste Poline | Zendy; Bernard Mazoyer | Zendy

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Enhanced Detection in Brain Activation Maps Using a Multifiltering Approach

Author(s) -

JeanBaptiste Poline,

Bernard Mazoyer

Publication year - 1994

Publication title -

journal of cerebral blood flow and metabolism

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.167

H-Index - 193

eISSN - 1559-7016

pISSN - 0271-678X

DOI - 10.1038/jcbfm.1994.79

Subject(s) - sensitivity (control systems) , positron emission tomography , signal (programming language) , noise (video) , computer science , filter (signal processing) , artificial intelligence , pattern recognition (psychology) , computer vision , nuclear medicine , medicine , electronic engineering , image (mathematics) , engineering , programming language

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.

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