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首页> 外文期刊>Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on >A new regularization technique for limited-view sound-speed imaging
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A new regularization technique for limited-view sound-speed imaging

机译：有限视角声速成像的新正则化技术

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摘要

Reconstructing sound-speed maps from the limited view offered by a linear array of ultrasonic sensors has been a long-standing challenge in medical diagnostics and nondestructive evaluation. Because of the limited range of angles that can be used to interrogate the volume beneath the array, the inverse problem of retrieving sound-speed maps from scattering measurements is highly ill-posed. The missing angles cause significant artifacts that degrade the image by altering the values of sound speed and producing ghost features. This paper introduces the virtual image space component iterative technique (VISCIT), which addresses the limited-view problem by introducing a new regularization technique which iteratively compensates for the missing components by applying an adaptive threshold to the reconstruction. The effectiveness of the method in yielding high-accuracy sound-speed maps is demonstrated using a complex numerical phantom and validated experimentally with an agar phantom. It is shown that sound-speed contrast as low as 1.3% is readily detectable, thus paving the way for more sensitive and selective detection of damage precursors and early stage diseases.
机译：从超声传感器的线性阵列提供的有限视图重建声速图一直是医学诊断和无损评估中的长期挑战。由于可用于询问阵列下方的体积的角度范围有限，因此从散射测量结果中检索声速图的反问题非常不适当。缺少的角度会导致大量伪影，这些伪影会通过更改声速值并产生重影特征而使图像质量下降。本文介绍了虚拟图像空间分量迭代技术（VISCIT），它通过引入一种新的正则化技术解决了有限视图问题，该技术通过将自适应阈值应用于重建来迭代补偿缺失的分量。使用复杂的数字体模演示了该方法在产生高精度声速图方面的有效性，并通过琼脂体模进行了实验验证。结果表明，低至1.3％的声速对比度很容易检测到，从而为更敏感和选择性地检测损伤前体和早期疾病铺平了道路。

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