Segmentation and measurement based on 3D Voronoi diagram: application to confocal microscopy.
Computational geometry provides many solutions to imaging problems, especially for three-dimensional (3D) image compression, segmentation, and measurement. We present here a new method to partition volume data by Voronoi polyhedra structured in a graph environment. A dynamic construction of the 3D Voronoi diagram is proposed, using image information interactively. The process has been applied to segment and quantitate 3D biological data acquired with a confocal laser scanning microscope (CLSM). The discrete volume acquired represents a large mass of data and can be reduced with this particular method, before measurement (processing time) or archiving (memory space). Furthermore, the structure data is a powerful tool to rapidly compute parameters that are characteristic of the volume data.
Bertin
E
E
Equipe de Reconnaissance des Formes et Microscopie Quantitative, Laboratoire TIM3-IMAG, USR CNRS 690B, Université Joseph Fourier, CERMO, Grenoble, France.
Parazza
F
F
Chassery
J M
JM
D000465:Algorithms; D002467:Cell Nucleus / Q000648:ultrastructure; D002875:Chromosomes / Q000648:ultrastructure; D003628:Database Management Systems; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007834:Lasers; D008854:Microscopy, Electron / Q000379:methods*; D008962:Models, Theoretical; D013499:Surface Properties; D014463:Ultrasonography