Enhanced level-set approach to segmentation of 3-D heterogeneous lesions from dynamic contrast-enhanced MR images

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

Enhanced level-set approach to segmentation of 3-D heterogeneous lesions from dynamic contrast-enhanced MR images

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	7th IEEE Southwest Symposium on Image Analysis and Interpretation
Pages	71-75
Number of pages	5
State	Published - 2006
Event	7th IEEE Southwest Symposium on Image Analysis and Interpretation - Denver, CO, United States Duration: Mar 26 2006 → Mar 28 2006

Publication series

Name	Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume	2006

Other

Other	7th IEEE Southwest Symposium on Image Analysis and Interpretation
Country/Territory	United States
City	Denver, CO
Period	3/26/06 → 3/28/06

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Computer Science Applications

Cite this

Rajguru, N. S., Rodríguez, J. J., Raghunand, N., & Gillies, R. J. (2006). Enhanced level-set approach to segmentation of 3-D heterogeneous lesions from dynamic contrast-enhanced MR images. In 7th IEEE Southwest Symposium on Image Analysis and Interpretation (pp. 71-75). Article 1633724 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2006).

Enhanced level-set approach to segmentation of 3-D heterogeneous lesions from dynamic contrast-enhanced MR images. / Rajguru, Nikhil S.; Rodríguez, Jeffrey J.; Raghunand, Natarajan et al.
7th IEEE Southwest Symposium on Image Analysis and Interpretation. 2006. p. 71-75 1633724 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rajguru, NS, Rodríguez, JJ, Raghunand, N & Gillies, RJ 2006, Enhanced level-set approach to segmentation of 3-D heterogeneous lesions from dynamic contrast-enhanced MR images. in 7th IEEE Southwest Symposium on Image Analysis and Interpretation., 1633724, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, vol. 2006, pp. 71-75, 7th IEEE Southwest Symposium on Image Analysis and Interpretation, Denver, CO, United States, 3/26/06.

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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.",

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AB - 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.

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BT - 7th IEEE Southwest Symposium on Image Analysis and Interpretation

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Enhanced level-set approach to segmentation of 3-D heterogeneous lesions from dynamic contrast-enhanced MR images

Abstract

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ASJC Scopus subject areas

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