File:Brain morphometry image segmentation.png: Difference between revisions

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 == Summary ==
-{{Image_notes_ownwork2
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-|Description           = Image segmentation using [[a priori]] information. In the first step, the image intensities of the [[Magnetic resonance imaging|T1 image]] (upper left) are used to plot their frequencies in a [[histogram]]. Several peaks – corresponding to different image intensities of the tissue classes – can be differentiated. In the next step, [[Gaussian curve]]s for each tissue class are fitted into the histogram to estimate the probability of a [[voxel]] belonging to that tissue class (bottom left). A map for [[gray matter]] is shown (upper right) with the estimated probability for two selected locations (red circles). Based solely on a similar image intensity, the [[cerebral]] and the [[skull|extracranial]] spot exhibit a similar probability for belonging to gray matter. This can be corrected by combining the image intensity-based information with prior information (below), e.g. using a [[Bayesian approach]].
-|Year_created          = 2009
-|CZ_username           = [[User:Daniel Mietchen|Daniel Mietchen]]
-|Notes                 =
-|Other_versions        =
-}}
-== Licensing/Copyright status ==
-{{CC-by-sa-3.0}}