Abstract
In the paper, we propose a similarity based image segmentation method, which takes the non-image information and the image characteristics and selects among a set of cases the case, which fits best to the current case. The segmentation parameters associated to the close case are applied to the segmentation unit and taken for segmentation of the current case. By taking into account the non-image and image information we break down our complex solution space to a subspace of relevant cases where the variation among the cases is limited. We use our approach for determination of brain/liquor ratio in CT-images. This parameter is used for diagnosis of Alzheimer disease.
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© 1998 Springer-Verlag Berlin Heidelberg
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Perner, P. (1998). Similarity-Based Image Segmentation Determination of Brain/Liquor Ratio by Alzheimer Dementia. In: Lehmann, T., Metzler, V., Spitzer, K., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 1998. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58775-7_41
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DOI: https://doi.org/10.1007/978-3-642-58775-7_41
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