Abstract
Previous work has shown how Ising spatial priors can be incorported into fMRI analysis in a principled manner by using Mutual Information as a statistic for protocol-related activity. The activation image with maximum o posteriori (MAP) probability can then be computed exactly in polynomial time by reduction to a Min-Cut/Max-Flow Problem. In this work, we show that an Ising prior can be applied in the same manner using a standard, linear activation model. © Springer-Verlag Berlin Heidelberg 2004.
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CITATION STYLE
Cosman, E. R., Fisher, J. W., & Wells, W. M. (2004). Exact MAP activity detection in fMRI using a GLM with an ising spatial prior. In Lecture Notes in Computer Science (Vol. 3217, pp. 703–710). Springer Verlag. https://doi.org/10.1007/978-3-540-30136-3_86
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