基于形状的CT图像断层间数据插值算法  

Data Interpolation Algorithm between the Slices of CT Image Based on Shape

作　　者：雷印胜[1] 王明时[1,2] 秦然[3] 

机构地区：[1]天津大学精密仪器与光电子工程学院 [2]天津300072 [3]山东青年管理干部学院

出　　处：《电子测量与仪器学报》2007年第3期23-27,共5页Journal of Electronic Measurement and Instrumentation

摘　　要：CT脑血管三维重建图像都是源自二维断层扫描,由于二维断层扫描图像是对一定厚度的三维物体在二维平面上的断层投影,在目前的技术水平下,相邻两断层图像间的扫描距离要大于同一断层中解剖组织相邻像素间的图像显示距离。为保证三维重建图像的质量,在研究了CT脑血管二维图像特征后,提出了一种新的基于形状和基于灰度的图像断层间数据插值算法,并取得了较理想的实验效果。The source data of 3-dimension CT cerebrovascular image reconstruction come from 2D tomography slices. Because 2-dimension CT cerebrovascular medical slice images are the projection of certain thickness 3D internal tissue on a 2D plane, the distance between two contiguity medical image slices is greater than the display distance of contiguity graphic display pixels of internal tissue in same medical image slice under current scan technical condition. In order to ensure the quality of 3D image reconstruction, after studying the features of 2-dimensione CT cerebrovascular image and data interpolation between the slices in the process of data extraction of 2-dimensione CT cerebrovascular for 3D-reconstruction, a novel interpolation algorithm based on grey-level and shape is presented, and better experimental results are obtained.

关 键 词：CT脑血管图像 形状和灰度 层间插值 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]