DocumentCode :
1633124
Title :
Segmentation of osteosarcoma based on analysis of blood-perfusion EPI series
Author :
Hong, Feng ; Zhao, Yongqiang ; Sun, Hao ; Li, Minglu ; Mei, Jiong
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China
Volume :
2
fYear :
2004
Firstpage :
955
Abstract :
The treatment of osteosarcoma has suffered from the lack of the evaluation of the response of the tumor to chemotherapy. The main issue is that osteosarcoma does not shrink in response to chemotherapy; instead, viable tumor is replaced by necrotic tissue. To distinguish the portions within the osteosarcoma accurately, a new segmentation method based on the analysis of blood-perfusion EPI MRI series is proposed in this article. A similarity mapping method is used to analyze blood-perfusion EPI MRI series, and a watershed method with specific preprocessing is included to do the segmentation. A segmentation result of this method to a patient is shown and compared with the result of the surgery.
Keywords :
biomedical MRI; image segmentation; image sequences; medical image processing; tumours; MRI series; blood-perfusion EPI series; osteosarcoma segmentation; similarity mapping; tumor; watershed method; Blood; Bone diseases; Computer science; High-resolution imaging; Hospitals; Image segmentation; Magnetic resonance imaging; Neoplasms; Orthopedic surgery; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems, 2004. ICCCAS 2004. 2004 International Conference on
Print_ISBN :
0-7803-8647-7
Type :
conf
DOI :
10.1109/ICCCAS.2004.1346338
Filename :
1346338
Link To Document :
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