期刊文献+

基于径向基函数的超声体数据重建仿真研究 被引量:2

Simulation Study on Volume Data Reconstruction in 3D US System Using Radical Basis Function
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摘要 三维超声成像技术因其重要的临床应用价值日益成为相关领域的研究热点,而三维体数据重建是其中的关键技术环节之一。一般而言,径向基函数(RBF)插值与其它插值方法相比有更高的精确度。将RBF插值应用到三维超声成像系统的体数据重建中,且通过预处理以及选取合适的径向基函数等措施,降低了方法的运算复杂度,提高了处理效率。仿真实验结果表明,该方法不仅能够获得较好的重建效果,并且减少了重建时间,使得RBF插值法在三维超声成像系统体数据重建中的应用变得更具工程实用性。 3D US imaging is of great interest for researchers because of its important clinical applications,and 3D volume data reconstruction is one of its key problems.Generally,the interpolation method of radical basis function (RBF) has better accuracy over other methods.The RBF interpolation method was introduced into the volume data reconstruction of 3D US.The method has excellent computing efficiency,as maybe contributed to some pre-processing and the determination of appropriate RBF.The simulation result shows that the proposed method can generate good reconstruction and the RBF interpolation method has become more practical in the volume data reconstruction of 3D US due to the reduction of computing time.
出处 《系统仿真学报》 CAS CSCD 北大核心 2010年第8期1992-1996,共5页 Journal of System Simulation
基金 国家自然科学基金(60571040) 山东省优秀中青年科学家科研奖励基金项目(2005BS1006) 山东大学自主创新基金项目(2009TS106)
关键词 径向基函数 插值 图像重建 三维超声成像 仿真 radical basis function interpolation image reconstruction 3D US simulation
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参考文献23

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