Abstract
We present here a new method of cerebral activation detection. This method is applied on individual activation maps of any sort. It aims at processing a group analysis while preserving individual information and at overcoming as far as possible problems induced by spatial normalization used to compare different subject. The analysis is made through a multi-scale object-based description of the individual maps and these descriptions are compared, rather than comparing directly the images in a stereotactic space. The comparison is made using a graph, on which a labeling process is performed. The label field on the graph is modeled by a Markovian random field, which allows us to introduce high-level rules of interrogation of the data.
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Coulon, O., Mangin, JF., Poline, JB., Frouin, V., Bloch, I. (2001). Group Analysis of Individual Activation Maps Using 3D Scale-Space Primal Sketches and a Markovian Random Field. In: Moore, M. (eds) Spatial Statistics: Methodological Aspects and Applications. Lecture Notes in Statistics, vol 159. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-0147-9_10
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DOI: https://doi.org/10.1007/978-1-4613-0147-9_10
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