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Improved ultrasonic image generation through tomographic image fusion

机译:通过断层图像融合改善超声图像生成

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Techniques for the generation of quantitative ultrasonic images in non-destructive testing have generally involved a substantial cost in terms of data storage and computational time, and thus have found limited application. Preference hastherefore been given to the more straightforward imaging methods, such as main beam projection, that detect the presence of defects and provide a limited flaw sizing capability.The relatively small number of flaws requiring detailed examination, coupled with substantial increases in available data storage and computational power, has made it possible to use a number of straightforward tomographic reconstruction methods toproduce images of flaws contained within the material under examination. These can then be fused together into a single image from which more accurate measurements of flaw size, shape and orientation can be made. The three tomographic methods that havebeen implemented in this work are reflection tomography, time-of-flight diffraction tomography and transmission tomography. Selection of images used in the fusion process depends on the nature of the flaw, as each of these methods identifies differentcharacteristics of the flaw shape. The reconstruction methods have been used to generate images from a variety of flaws contained within aluminum cylinders, some or all of the images being fused to produce the final flaw image. Time domain measurementsused in the reconstruction were then applied to simulate the application of multi-element arrays for data acquisition and the subsequent tomographic images evaluated.
机译:在非破坏性测试中用于生成定量超声图像的技术通常在数据存储和计算时间方面涉及相当大的成本,因此发现其应用受到限制。因此,优先选择更直接的成像方法,例如主光束投影,以检测缺陷的存在并提供有限的缺陷确定能力。相对较少数量的缺陷需要详细检查,同时可利用的数据存储量和存储量也大大增加。计算能力使人们有可能使用许多简单的断层摄影重建方法来产生被检查材料中所含缺陷的图像。然后可以将这些融合在一起成为一个图像,从而可以更准确地测量缺陷的大小,形状和方向。在这项工作中已实现的三种层析成像方法是反射层析成像,飞行时间衍射层析成像和透射层析成像。融合过程中使用的图像选择取决于缺陷的性质,因为这些方法中的每一种都可以识别出缺陷形状的不同特征。重建方法已用于从铝制圆柱体中包含的各种缺陷生成图像,将部分或全部图像融合以生成最终缺陷图像。然后将重建中使用的时域测量值应用于模拟多元素阵列在数据采集中的应用,并对随后的断层图像进行评估。

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