title: Segmentation and visualization of nasopharyngeal carcinoma using MRI.
abstract: 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.
authors.affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. p149624472@ntu.edu.sg
authors.forename: Jiayin
authors.initials: J
authors.lastname: Zhou
authors.forename: Tuan-Kay
authors.initials: TK
authors.lastname: Lim
authors.forename: Vincent
authors.initials: V
authors.lastname: Chong
authors.forename: Jing
authors.initials: J
authors.lastname: Huang
mesh_terms: 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*