Interactive segmentation of multi-dimensional medical data with contour-based application of genetic algorithms

Author

Cagnoni, S. ; Dobrzeniecki, A.B. ; Yanch, J.C. ; Poli, R.

Author_Institution

MIT, Cambridge, MA, USA

Volume

3

fYear

1994

fDate

13-16 Nov 1994

Firstpage

498

Abstract

The authors describe a method for contour-based segmentation of anatomical structures in tomographic images. The method requires three steps. First the authors manually trace one or more 2D contours of a structure of interest. Such contours are then used as training examples in designing a nonlinear edge-detector using a genetic algorithm. Finally, by applying the edge detector to the whole dataset the authors perform a 3D segmentation and surface reconstruction. Results obtained on magnetic resonance images of the brain are also reported

Keywords

biomedical NMR; brain; computerised tomography; edge detection; genetic algorithms; image reconstruction; image segmentation; interactive systems; interpolation; 2D contours; 3D segmentation; anatomical structures; brain; contour-based application; dataset; genetic algorithms; interactive segmentation; interpolation system; magnetic resonance images; multi-dimensional medical data; nonlinear edge-detector; surface reconstruction; tomographic images; training examples; Algorithm design and analysis; Anatomical structure; Biomedical imaging; Detectors; Genetic algorithms; Image edge detection; Image reconstruction; Image segmentation; Surface reconstruction; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413756

Filename

413756