Academic Commons


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.


Also Published In

2006 3rd IEEE International Symposium on Biomedical Imaging: From Macro to Nano: Proceedings: April 6-9, 2006, Crystal Gateway Marriott, Arlington, Virginia, USA

More About This Work

Academic Units
Biomedical Engineering
Published Here
August 12, 2010
Academic Commons provides global access to research and scholarship produced at Columbia University, Barnard College, Teachers College, Union Theological Seminary and Jewish Theological Seminary. Academic Commons is managed by the Columbia University Libraries.