Enhanced Level-Set Approach to Segmentation of 3-D Heterogeneous Lesions from Dynamic Contrast-Enhanced MR Images

Author

Rajguru, Nikhil S. ; Rodríguez, Jeffrey J. ; Raghunand, Natarajan ; Gillies, Robert J.

Author_Institution

Arizona Univ., Tucson, AZ

fYear

0

fDate

0-0 0

Firstpage

71

Lastpage

75

Abstract

A method for the 3-D segmentation of a heterogeneous (non-uniform intensity) volume of interest from high-resolution dynamic contrast-enhanced magnetic resonance image acquisition is presented and evaluated in this paper. The algorithm uses a level-set approach with enhanced edge sensitivity. The local probability near the lesion boundary is utilized for level-set evolution. The level-set function is sensitized to the boundary of the lesion by combining forces derived from the image, including gradient vector flow. The proposed algorithm performs better than other applicable segmentation techniques based on active contours, and also the classical level-set approach. Results are presented and analyzed to validate the same

Keywords

biomedical MRI; edge detection; gradient methods; image enhancement; image resolution; image segmentation; medical image processing; tumours; 3D heterogeneous lesions; 3D segmentation; dynamic contrast-enhanced MR images; edge sensitivity; gradient vector flow; level-set approach; magnetic resonance image acquisition; Active contours; Image resolution; Image segmentation; Laboratories; Lesions; Level set; Magnetic analysis; Magnetic resonance; Mice; Neoplasms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Interpretation, 2006 IEEE Southwest Symposium on

Conference_Location

Denver, CO

Print_ISBN

1-4244-0069-4

Type

conf

DOI

10.1109/SSIAI.2006.1633724

Filename

1633724