Snake-Based Liver Lesion Segmentation

Chetankumar Krishnamurthy, Jeffrey J. Rodríguez, Robert J. Gillies

Research output: Contribution to conferencePaper

17 Scopus citations

Abstract

A novel and robust method for accurate segmentation of liver lesions is discussed in this paper. The initial contour for the snake is formed using edge and region information. The modified snake, guided by fuzzy edge information deforms from this initial position, providing an accurate representation of the lesion boundary with few iterations and minimal user interaction. Results obtained from this algorithm are comparable to those obtained from manual segmentation by a trained radiologist.

Original languageEnglish (US)
Pages187-191
Number of pages5
StatePublished - Jun 22 2004
Event2004 IEEE Southwest Symposium on Image Analysis and Interpretation - Lake Tahoe, NV, United States
Duration: Mar 28 2004Mar 30 2004

Other

Other2004 IEEE Southwest Symposium on Image Analysis and Interpretation
CountryUnited States
CityLake Tahoe, NV
Period3/28/043/30/04

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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  • Cite this

    Krishnamurthy, C., Rodríguez, J. J., & Gillies, R. J. (2004). Snake-Based Liver Lesion Segmentation. 187-191. Paper presented at 2004 IEEE Southwest Symposium on Image Analysis and Interpretation, Lake Tahoe, NV, United States.