A robust energy minimization algorithm for MS-lesion segmentation

Zhaoxuan Gong, Dazhe Zhao, Chunming Li, Wenjun Tan, Christos Davatzikos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


The detection of multiple sclerosis lesion is important for many neuroimaging studies. In this paper, a new automatic robust algorithm for lesion segmentation based on MR images is proposed. This method takes full advantage of the decomposition of MR images into the true image that characterizes a physical property of the tissues and the bias field that accounts for the intensity inhomogeneity. An energy function is defined in term of the property of true image and bias field. The energy minimization is proposed for seeking the optimal segmentation result of lesions and white matter. Then postprocessing operations is used to select the most plausible lesions in the obtained hyperintense signals. The experimental results show that our approach is effective and robust for the lesion segmentation.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings
EditorsMark Elendt, Richard Boyle, Eric Ragan, Bahram Parvin, Rogerio Feris, Tim McGraw, Ioannis Pavlidis, Regis Kopper, George Bebis, Darko Koracin, Zhao Ye, Gunther Weber
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783319278568
StatePublished - 2015
Event11th International Symposium on Advances in Visual Computing, ISVC 2015 - Las Vegas, United States
Duration: Dec 14 2015Dec 16 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other11th International Symposium on Advances in Visual Computing, ISVC 2015
Country/TerritoryUnited States
CityLas Vegas


  • Bias field
  • Energy minimization
  • MR
  • Multiple sclerosis lesion
  • True image

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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