Zhou Jiayin, Lim Tuan-Kay, Chong Vincent, Huang Jing
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore.
Comput Biol Med. 2003 Sep;33(5):407-24. doi: 10.1016/s0010-4825(03)00018-0.
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.
在本研究中,开发了一种半自动系统,用于利用磁共振成像(MRI)对鼻咽癌(NPC)进行肿瘤分割、体积测量和可视化。该医学诊断系统集成了一些用于从MRI进行肿瘤分割和层间插值的新颖算法。该系统应用于10例NPC患者的MR图像数据集,并取得了满意的结果。该系统可作为临床图像分析工具,供医生或放射科医生从MRI获取肿瘤位置、估计肿瘤体积以及获取三维信息。