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Homogeneity Measures for Multiphase Level Set Segmentation of Brain MRI

Angelini, Elsa D.; Song, Ting; Laine, Andrew F.

This paper presents a new homogeneity measure for variational segmentation with multiple level set functions. We propose to modify the quadratic homogeneity measure to trade off the convexity of the function against a faster rate of convergence. We tested in two series of experiments the performance of this new homogeneity force at converging to appropriate partitioning of brain MRI data sets, over a large range of image spatial resolution and image quality, in terms of tissue homogeneity and contrast.

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Title
2006 3rd IEEE International Symposium on Biomedical Imaging: From Macro to Nano: Proceedings: April 6-9, 2006, Crystal Gateway Marriott, Arlington, Virginia, USA
Publisher
IEEE
DOI
https://doi.org/10.1109/ISBI.2006.1625024

More About This Work

Academic Units
Biomedical Engineering
Published Here
August 12, 2010