DocumentCode
1674190
Title
The Generation Algorithm of Tissue Contour Lines in Medical Image
Author
Zheng, Liping ; Li, Guangyao ; Zhu, Hengye
Author_Institution
CAD Res. Center, Tongji Univ., Shanghai
fYear
2008
Firstpage
2631
Lastpage
2634
Abstract
Medical image segmentation is the basis of medical image three-dimensional reconstruction. The accuracy of image segmentation directly affects the results of image 3D reconstruction. According to the grayscale feature of different tissues in CT image and the image symmetry, a new algorithm of obtaining tissue contour lines is put forward. Using edge detection with specific threshold and improved contour tracking algorithm to segment image, then obtain the contour lines. Experimental results show this novel algorithm can improve the efficiency and the precision of contour lines.
Keywords
biological tissues; computerised tomography; edge detection; image reconstruction; image segmentation; medical image processing; CT image; contour tracking algorithm; edge detection; generation algorithm; grayscale feature; image 3D reconstruction; image symmetry; medical image segmentation; tissue contour lines; Biomedical imaging; Computed tomography; Computer displays; Computer vision; Gray-scale; Head; Image edge detection; Image reconstruction; Image segmentation; Surgery;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.991
Filename
4535871
Link To Document