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IBPRIA
2007
Springer

Registration-Based Segmentation Using the Information Bottleneck Method

14 years 5 months ago
Registration-Based Segmentation Using the Information Bottleneck Method
We present two new clustering algorithms for medical image segmentation based on the multimodal image registration and the information bottleneck method. In these algorithms, the histogram bins of two registered multimodal 3D-images are clustered by minimizing the loss of mutual information between them. Thus, the clustering of histogram bins is driven by the preservation of the shared information between the images, extracting from each image the structures that are more relevant to the other one. In the first algorithm, we segment only one image at a time, while in the second both images are simultaneously segmented. Experiments show the good behavior of the presented algorithms, especially the simultaneous clustering.
Anton Bardera, Miquel Feixas, Imma Boada, Jaume Ri
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where IBPRIA
Authors Anton Bardera, Miquel Feixas, Imma Boada, Jaume Rigau, Mateu Sbert
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