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Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Unifying Approach to Registration, Segmentation, and Intensity Correction
verfasst von : Kilian M. Pohl, John Fisher, James J. Levitt, Martha E. Shenton, Ron Kikinis, W. Eric L. Grimson, William M. Wells
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005
Verlag: Springer Berlin Heidelberg
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We present a statistical framework that combines the registration of an atlas with the segmentation of magnetic resonance images. We use an Expectation Maximization-based algorithm to find a solution within the model, which simultaneously estimates image inhomogeneities, anatomical labelmap, and a mapping from the atlas to the image space. An example of the approach is given for a brain structure-dependent affine mapping approach. The algorithm produces high quality segmentations for brain tissues as well as their substructures. We demonstrate the approach on a set of 22 magnetic resonance images. In addition, we show that the approach performs better than similar methods which separate the registration and segmentation problems.