Title :
Multimodality MRI information fusion for osteosarcoma segmentation
Author :
Zhao, Yongqiang ; Hong, Feng ; Li, Minglu
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China
Abstract :
This paper presents a novel system to improve osteosarcoma segmentation based on the information fusion. Conventional and dynamic contrast-enhanced MRI sequences can he treated as multiple sensors. This system aims to give the correct extension of tumor for surgical planning and resection.
Keywords :
biomedical MRI; bone; image segmentation; medical image processing; surgery; tumours; contrast-enhanced MRI sequences; information fusion; multimodality MRI; multiple sensors; osteosarcoma segmentation; surgical planning; surgical resection; tumor; Biological tissues; Bones; Computer science; Image segmentation; Magnetic resonance imaging; Magnetic sensors; Malignant tumors; Microscopy; Neoplasms; Surgery;
Conference_Titel :
Biomedical Engineering, 2003. IEEE EMBS Asian-Pacific Conference on
Print_ISBN :
0-7803-7943-8
DOI :
10.1109/APBME.2003.1302636
