基于Piella指数优化的CT和MR图像融合  

CT and MR Image Fusion Based on Piella Index Optimization

作　　者：余南南[1] 邱天爽[1] 毕峰[1] 王爱齐[1] 

机构地区：[1]大连理工大学电子信息与电气工程学部,辽宁大连116024

出　　处：《航天医学与医学工程》2011年第2期134-138,共5页Space Medicine & Medical Engineering

基　　金：国家自然科学基金项目(60872122;60940023)

摘　　要：目的实现CT与MR图像融合,帮助医生做出准确的诊断和治疗。方法将Piella指数最大化作为图像融合目标,通过滑动窗对配准后的原始图像分块,将每一个图像块字典编纂为列向量;通过优化算法更新图像块加权向量,使Piella指数最大;根据加权向量合并相对应的图像块,并整理得到融合图像。结果仿真实验对20组CT和MR图像进行融合处理,将本文算法与3种流行融合算法比较,给出量化评价指标,表明本文算法性能优越。结论该算法为多模态医学图像融合提供了一种新的有效手段。Objective To fuse CT and MR images in order to provide some basis for doctors to get accurate diagnosis and treatment.Methods The maximization of the Piella index was used as object of image fusion.Firstly,sliding window technique was used to divide each source image into small patches and each patch was ordered lexicographically as vector.Secondly,through the optimization algorithm,the weights were determined to maximize the Piella index.Finally,the corresponding patches were combined according to the weights and the fused image was reconstructed through averaging the overlapped image patches.Results Twenty sets of CT and MR images were fused.We compared our method with 3 state-of-the-art methods and also evaluated their fusion results with quantitative valuation methods.The proposed scheme had better fusion performance.Conclusion This method provides a new useful tool for the fusion of multi-modal medical images.

关 键 词：图像融合 Piella指数 CT MR 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]