Analysis of individual brain activation maps using hierarchical description and multiscale detection
IEEE Trans. Med. Imaging. 1994-01-01; 13(4): 702-710
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1. IEEE Trans Med Imaging. 1994;13(4):702-10.
Analysis of individual brain activation maps using hierarchical description and
Poline JB(1), Mazoyer BM.
(1)DRIPP-CEA, Paris VII Unv., France.
The authors propose a new method for the analysis of brain activation images that
aims at detecting activated volumes rather than pixels. The method is based on
Poisson process modeling, hierarchical description, and multiscale detection
(MSD). Its performances have been assessed using both Monte Carlo simulated
images and experimental PET brain activation data. As compared to other methods,
the MSD approach shows enhanced sensitivity with a controlled overall type I
error, and has the ability to provide an estimate of the spatial limits of the
detected signals. It is applicable to any kind of difference image for which the
spatial autocorrelation function can be approximated by a stationary Gaussian