Title :
Direct segmentation for 3D medical images
Author :
Yu Xiaohan ; Yla-Jaaski, J.
Author_Institution :
Graphic Arts Lab., Tech. Res. Centre of Finland, Espoo, Finland
Abstract :
A new algorithm for direct 3D segmentation is presented. The algorithm combines region growing, edge detection and a new edge preserving smoothing method. The combined method helps to avoid characteristic segmentation errors which occur when using region growing or edge detection separately. Boundary modification is also introduced to overcome noise in the boundary location and ensure more realistic region boundaries. The algorithm has been validated through application to medical image visualisation.<>
Keywords :
data visualisation; edge detection; image segmentation; medical image processing; 3D medical images; boundary location; boundary modification; direct segmentation; edge detection; edge preserving smoothing method; medical image visualisation; realistic region boundaries; region growing; Adaptive filters; Art; Biomedical imaging; Filtering; Graphics; Image edge detection; Image segmentation; Laboratories; Noise reduction; Smoothing methods;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.320190
