Title :
Urethral segmentation from the VF dataset
Author :
Greenshields, I.R.
Author_Institution :
Dept. of Comput. Sci. & Eng., Connecticut Univ., Storrs, CT, USA
Abstract :
We describe the segmentation of the urethra from the Visible Female Cryosectioned Dataset (VFCD). The segmentation strategy employs a near-Gibbsian classification of the VFCD, followed by volumetric smoothing of the resultant point sets which are subsequently polyhedralized by an isosurface extraction algorithm
Keywords :
Markov processes; biology computing; data visualisation; gynaecology; image segmentation; medical image processing; physiological models; simulated annealing; surface fitting; Visible Female Cryosectioned Dataset; context-sensitive strategy; image Markovian structure; isosurface extraction algorithm; metropolis algorithm; near-Gibbsian classification; point sets; polyhedralized sets; segmentation strategy; simulated annealing; stress urinary incontinence; urethra model; urethral segmentation; volumetric smoothing; Anatomy; Computed tomography; Computer science; Data engineering; Humans; Image segmentation; Isosurfaces; Iterative algorithms; Smoothing methods; Solid modeling;
Conference_Titel :
Bioengineering Conference, 2000. Proceedings of the IEEE 26th Annual Northeast
Conference_Location :
Storrs, CT
Print_ISBN :
0-7803-6341-8
DOI :
10.1109/NEBC.2000.842410
