Segmentation and visualization of nasopharyngeal carcinoma using MRI.
In this study, a semi-automatic system was developed for nasopharyngeal carcinoma (NPC) tumor segmentation, volume measurement and visualization using magnetic resonance imaging (MRI). Some novel algorithms for tumor segmentation from MRI and inter-slice interpolation were integrated in this medical diagnosis system. This system was applied to 10 MR image data sets of NPC patients and satisfactory results were achieved. This system can be used as a clinical image analysis tool for doctors or radiologists to obtain tumor location from MRI, tumor volume estimation, and 3D information.
Zhou
Jiayin
J
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. p149624472@ntu.edu.sg
Lim
Tuan-Kay
TK
Chong
Vincent
V
Huang
Jing
J
D000465:Algorithms; D002277:Carcinoma / Q000473:pathology*; D019295:Computational Biology; D006801:Humans; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009303:Nasopharyngeal Neoplasms / Q000473:pathology*