Three-Dimensional Ultrasound C-Scan Imaging Using Holographic Reconstruction
Three-Dimensional Ultrasound C-Scan Imaging Using Holographic Reconstruction
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DOI：
10.1109/t-uffc.1986.26889
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发表时间：
1986
期刊：
影响因子：
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通讯作者：
J. Ylitalo;E. Alasaarela;A. Tauriainen;K. Tervola;J. Koivukangas
中科院分区：
文献类型：
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作者：
J. Ylitalo;E. Alasaarela;A. Tauriainen;K. Tervola;J. Koivukangas
提出了一种基于全息重建的三维超声C扫描成像方法。利用物体的广角相干照明和全息原理，在整个成像空间实现了高横向分辨率。在这种方法中，物体被单色超声脉冲电离，从不同物体级别反射的波前被记录到全息图的堆栈中，每个全息图对应于不同的物体级别。记录后，首先对三维全息图的每个平面进行傅里叶变换。然后，通过传递函数将每个平面波谱传递到物体空间，并使用逆傅立叶变换计算物体平面的波前。最后将所有物体平面组合成三维图像，该图像以前投影、侧投影、顶投影和立体视觉的形式显示。对含有点状特征的测试对象进行了模拟测量和真实测量。所有测量均使用4 MHz的超声频率。模拟测量结果表明，三维成像方法在三个方向上的分辨率均优于2 mm。采用有效的编码方法和快速傅立叶变换算法，在一台普通的256kword小型机上，可以将、、32点图像的成像时间缩短到2 h。
A three-dimensional ultrasound C-scan imaging method based on holographic reconstruction has been developed. Using wide angle coherent illumination of the object and holographic principles, high lateral resolution is achieved throughout the imaging space. For this method the object is insonified by monochromatic ultrasound bursts, and the wavefronts reflected from the different object levels are recorded into a stack of holograms, each of which corresponds to a different object level. After recording each plane of the three-dimen- sional hologram is first Fourier transformed. Then each plane wave spectrum is transferred to the object space by a transfer function, and the wavefront of the object plane is calculated using an inverse Fourier transform. Finally all the object planes are combined to form a three- dimensional image, which is displayed as front, side, and top projec- tions and as a stereopair. Both simulated and real measurements of test objects that contained point-like features were accomplished. An ultrasonic frequency of 4 MHz was used in all measurements. The sim- ulated measurements showed that the resolution of the three-dimen- sional imaging method is better than 2 mm in all three directions. Using effective coding methods and fast Fourier transform algorithms, the imaging time of a 64 X 64 X 32-point image could be reduced to 2 h with an ordinary 256-kword minicomputer.