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 conferencePaper

2 Scopus citations

Abstract

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)
Pages203-209
Number of pages7
StatePublished - Dec 1 2000
Externally publishedYes
EventITAB-ITIS 2000 - Arlington, VA, United States
Duration: Nov 9 2000Nov 10 2000

Other

OtherITAB-ITIS 2000
CountryUnited States
CityArlington, VA
Period11/9/0011/10/00

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Fingerprint Dive into the research topics of 'An interactive tool for the segmentation of multimodal medical images'. Together they form a unique fingerprint.

  • Cite this

    Vosilla, L., De Leo, G., Fato, M., Schenone, A., & Beltrame, F. (2000). An interactive tool for the segmentation of multimodal medical images. 203-209. Paper presented at ITAB-ITIS 2000, Arlington, VA, United States.