An Expectation Maximization Approach for Integrated Registration, Segmentation, and Intensity Correction

An Expectation Maximization Approach for Integrated Registration, Segmentation, and Intensity Correction

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...

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Bibliographic Details
Main Authors: Pohl, Kilian M., Fisher, John, Grimson, W. Eric L., Wells, William M.
Language:en_US
Published: 2005
Subjects:
AI
Expectation Maximization
Segmentation
Registration
Medical Image Analysis
Online Access:http://hdl.handle.net/1721.1/30532

Internet

http://hdl.handle.net/1721.1/30532

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