View : 51 Download: 0

Tumor segmentation from small animal PET using region growing based on gradient magnitude

Title
Tumor segmentation from small animal PET using region growing based on gradient magnitude
Authors
Lee Y.-B.Song S.-M.Lee J.-S.Kim M.-H.
Ewha Authors
김명희
SCOPUS Author ID
김명희scopus
Issue Date
2005
Journal Title
Proceedings of the 7th International Workshop on Enterprise Networking and Computing in Healthcare Industry, HEALTHCOM 2005
Indexed
SCOPUS scopus
Abstract
In this paper, we present a region growing algorithm based on gradient magnitude for tumor segmentation from small animal PET images. The segmentation of PET images with low spatial resolution and high variations of intensity is more difficult than images with high resolution. Especially, it is not easy to detect the boundary between region of interest and abutting regions with similar intensity. We propose a region growing algorithm to extract tumor from adjacent regions with similar intensity values using gradient magnitude difference. It can accurately extract the tumor and reduce the time for manual post-processing due to over-segmentation result from ordinary region growing with intensity criteria. © 2005 IEEE.
DOI
10.1109/HEALTH.2005.1500450
ISBN
0780389409; 9780780389403
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE