An interactive tool for the segmentation of multimodal medical images

L. Vosilla, G. De Leo, M. Fato, A. Schenone, F. Beltrame

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations


This paper describes a software application to segment multimodal biomedical images in two dimensions and to render the final result in 3D. It makes use of the false-colouring method for image fusion and of unsupervised clustering algorithms. It includes pre-processing and post-processing tools, such as classical morphological operators. Results are presented from original MR data sets in T1, T2 and STIR modalities.

Original languageEnglish (US)
Number of pages7
StatePublished - Dec 1 2000
Externally publishedYes
EventITAB-ITIS 2000 - Arlington, VA, United States
Duration: Nov 9 2000Nov 10 2000


OtherITAB-ITIS 2000
Country/TerritoryUnited States
CityArlington, VA


  • 3D visualization
  • Bioengineering
  • False-colouring
  • Image segmentation
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering


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