Sciweavers

Share
MICCAI
2005
Springer

A Unifying Approach to Registration, Segmentation, and Intensity Correction

10 years 1 months ago
A Unifying Approach to Registration, Segmentation, and Intensity Correction
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.
Kilian M. Pohl, John W. Fisher III, James J. Levit
Added 15 Nov 2009
Updated 15 Nov 2009
Type Conference
Year 2005
Where MICCAI
Authors Kilian M. Pohl, John W. Fisher III, James J. Levitt, Martha Elizabeth Shenton, Ron Kikinis, W. Eric L. Grimson, William M. Wells III
Comments (0)
books