基于MATLAB的三维超声成像及图像处理  被引量:19

Three dimension ultrasound imaging and image processing based on MATLAB

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作  者:黄云开[1] 郑政[1] 杨柳[1] 

机构地区:[1]上海理工大学医疗器械和食品学院,上海200093

出  处:《仪器仪表学报》2009年第4期840-847,共8页Chinese Journal of Scientific Instrument

基  金:上海理工大学创新基金资助项目

摘  要:三维超声成像与传统的二维超声成像相比,能提供丰富的立体结构信息,有着广泛的用途。专为研究目的设计了基于虚拟仪器的三维超声实验平台,因此可以利用基于计算机的各种处理软件,对该平台所采集的三维数据进行研究。利用MAT-LAB对实验数据进行了基于表面轮廓法的三维图像重构,观察不同的平滑领域参数以及轮廓提取阈值对三维重构效果的影响。还利用MATLAB对重构后的三维图像进行旋转、切割、切片,从各个角度对立体图像进行观察;并能够进行生物测量,距离测量的相对误差不大于8.00%,容积测量的相对误差不大于8.03%。重构后的图像保持了原物的形状与大小。Compared with traditional 2D ultrasound imaging, three dimension (3D) ultrasound imaging provides abundant spatial structure information, and achieves widespread usage in numerous applications. A 3 D ultrasound experiment platform based on virtual instrument was designed for research purpose, so that we could use all kinds of software based of computer to research the three dimension data acquired by the platform. In this paper, taking advantage of MATLAB we reconstruct experiment data into three dimension image in the way of feature-based method, and observe the effect of different parameters, such as the size of smooth convolution kernel and the threshold of extraction contour, on the quality of three dimension reconstruction. The reconstructed three dimension image can be observed with MATLAB from different aspects through rotating, cutting and slicing, and can be studied on biometry. The error of distance measurement is less than 8.00% , and that of volume measurement is less than 8.03%. The reconstructed image keeps the shape and volume of the original object.

关 键 词:三维超声成像:MATLAB 表面轮廓法重构 图像处理 

分 类 号:TP274.53[自动化与计算机技术—检测技术与自动化装置]

 

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