An interactive tool for the segmentation of multimodal medical images

Author

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

Author_Institution

DIST, Genoa Univ., Italy

fYear

2000

fDate

2000

Firstpage

203

Lastpage

209

Abstract

This paper describes a software application to segment multimodal biomedical images in 2D 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 MRI data sets in T1, T2 and STIR modalities

Keywords

biomedical MRI; data visualisation; image segmentation; interactive systems; mathematical morphology; mathematical operators; medical image processing; pattern clustering; rendering (computer graphics); sensor fusion; solid modelling; unsupervised learning; 3D rendering; 3D visualization; MRI data sets; STIR modality; T1 modality; T2 modality; bioengineering; false-colouring method; image fusion; interactive tool; magnetic resonance imaging; morphological operators; multimodal medical image segmentation; post-processing tools; pre-processing tools; software application; unsupervised clustering algorithms; Anatomical structure; Biomedical imaging; Clustering algorithms; Data visualization; Image analysis; Image segmentation; Magnetic resonance imaging; Medical diagnostic imaging; Medical treatment; Rendering (computer graphics);

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology Applications in Biomedicine, 2000. Proceedings. 2000 IEEE EMBS International Conference on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-6449-X

Type

conf

DOI

10.1109/ITAB.2000.892387

Filename

892387