Title :
Shape- and appearance-based segmentation of volumetric medical images
Author :
Beichel, R. ; Mitchell, S. ; Sorantin, E. ; Leberl, E. ; Goshtasby, A. ; Sonka, M.
Author_Institution :
Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Austria
Abstract :
A novel approach to three-dimensional segmentation, parametric surface representation, and interactive surface modification is reported. The combination of shape-based and appearance-based volumetric segmentation, parametric representation of 3D surfaces, and their interactive modification and editing forms a very powerful paradigm for a variety of volumetric segmentation tasks. Performance assessment of the method for automated segmentation of diaphragm surfaces in volumetric 3D CT images is ongoing
Keywords :
cancer; computerised tomography; image representation; image segmentation; image texture; liver; medical image processing; surgery; tumours; 3D surfaces; 3D texture representation; appearance-based segmentation; automated segmentation; diaphragm surfaces; interactive surface modification; malignant liver tumors; parametric surface representation; performance assessment; shape-based segmentation; virtual liver surgery planning; volumetric 3D CT images; volumetric medical images; volumetric segmentation; Active appearance model; Biomedical imaging; Cities and towns; Computed tomography; Heart; Image segmentation; Liver; Medical diagnostic imaging; Shape; Surgery;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958561
