Homogeneity measures for multiphase level set segmentation of brain MRI

Author

Angelini, Elsa ; Song, Ting ; Laine, Andrew

Author_Institution

Departement Traitement du Signal et des Images, Ecole Nat. Superieure des Telecommun., Paris

fYear

2006

fDate

6-9 April 2006

Firstpage

746

Lastpage

749

Abstract

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

Keywords

biological tissues; biomedical MRI; brain; image resolution; image segmentation; medical image processing; brain MRI; image quality; image spatial resolution; multiple level set functions; quadratic homogeneity measure; tissue contrast; tissue homogeneity; variational segmentation; Area measurement; Biomedical engineering; Biomedical measurements; Image segmentation; Level set; Magnetic resonance imaging; Measurement standards; Robustness; Shape measurement; USA Councils;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-9576-X

Type

conf

DOI

10.1109/ISBI.2006.1625024

Filename

1625024