摘要
在医学解剖三维图像重建时,解剖三维图像配准不准确,融合效果差,采用传统的三维图像重建方法,需将滤波后的投影数据依据几何关系反投影回待重建的各切片图像,需要进行大量的迭代计算,导致得到的医学解剖三维图像效果差。提出基于LabView的虚拟医学解剖实验的小波变换三维图像重建方法,对同最小化源数据及目标数据相应的点进行迭代,采用ICP算法完成医学解剖三维图像的准确配准。依据配准结果,通过三维信号小波变换的分解算法与重构算法,对医学解剖三维图像进行融合,实现三维图像重建。实验结果表明,通过所提方法得到的虚拟解剖图较传统方法更加直观精确,同时具有较高的仿真效率和精度。
A three -dimensional （3 D） image reconstruction method for virtual medical dissection experiments is proposed based on wavelet transform via LabView, the corresponding point of the minimized source data and target data is calculated by iteration, and the ICP algorithm is used to complete accurate registration for 3D medical dissection images. According to the registration results, through the 3D signal decomposition algorithm and reconstruction algorithm of wavelet transform, the 3 D image of medical dissection is fused, and 3 D image reconstruction is realized. The simulation results show that the proposed method is more intuitive and precision than the traditional methods, and has high simulation accuracy and efficiency.
出处
《计算机仿真》
CSCD
北大核心
2016年第4期411-414,共4页
Computer Simulation
基金
聊城大学计算机学院课题"基于LabVIEW的虚拟实验室的研究与实现"(2013LG008)
关键词
虚拟
虚拟医学解剖实验
三维图像重建
Virtual
Virtual medical solutions for plane
A 3D image reconstruction
