医学超声成像具有成本低、实时成像等优势,基于超声的多模态配准在临床诊断、病情监测、外科手术等应用上具有较大的意义.三维医学图像能够清晰地显示病变大小、形态,提供相对完整的人体组织的三维结构信息.本文采用基于B样条自由形变模型的非刚性配准方法对三维超声图像和计算机断层扫描图像(Computed Tomography,CT)进行配准,利用薄板样条能量约束项解决三维图像配准过程中的图像交叉与重叠问题.此外,使用仿体数据以及临床数据验证算法性能,通过感兴趣区域的相对重叠率,互信息值和程序运行时间这三个指标对算法精度和速度进行评价.其中Demons方法平均耗时1896 s,本文改进算法平均耗时195 s,运行效率提高8.7倍;算法改进前后的感兴趣区域重叠率分别是89.58％和91.35％,精度提高2.0％.实验结果表明此算法能够对超声和CT图像进行配准并获得较好的结果.
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