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An expectation maximization approach for integrated registration, segmentation, and intensity correction (2005)
| Content Provider | CiteSeerX |
|---|---|
| Author | Fisher, John Grimson, W. Eric L. Pohl, Kilian M. Wells, William M. |
| Abstract | This paper presents a statistical framework which combines the registration of an atlas with the segmentation of MR 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 30 brain MR images. In addition, we show that the approach performs better than similar methods which separate the registration from the segmentation problem. |
| File Format | |
| Publisher Date | 2005-01-01 |
| Access Restriction | Open |
| Subject Keyword | Segmentation Problem Integrated Registration Statistical Framework Brain Tissue Brain Structure-dependent Affine Mapping Approach Anatomical Labelmap Similar Method Mr Image Expectation Maximization-based Algorithm Image Space Intensity Correction Image Inhomogeneity High Quality Segmentation Expectation Maximization Approach Brain Mr Image |
| Content Type | Text |
| Resource Type | Article |
