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Ring artifact and non-uniformity correction method for improving XACT imaging

机译:改善XACT成像的环形伪影和非均匀性校正方法

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X-ray induced acoustic computed tomography (XACT) as a novel imaging modality has shown great potential in applications ranging from biomedical imaging to nondestructive testing. Improve the signal to noise ratio and removing the artifacts are major challenges in XACT imaging. We introduce an efficient non-uniformity correction method for the ultrasound ring transducer. Non-uniformity appears as ring artifacts in the reconstructed image when all sensor elements have a simultaneous time-variant response during the acquisition. Also, non-uniformity causes a contrast change effect in the reconstructed image when some defective sensor elements have a different response than the neighbors over the whole scan time. These two types of non-uniformity appear as horizontal or vertical strip patterns in sinogram domain based on the reason. The proposed method is a sinogram-based-algorithm, which is based on estimating a correction vector and localizing the abnormalities to compensate for the non-uniformity response. We applied the proposed algorithm on simulation data. The results have shown that the proposed method can greatly reduce the ring artifacts and also correct the distortion comes from sensor elements non-uniform response. Despite the great reduction of artifacts, the proposed method does not compromise the original spatial resolution and contrast after using the interpolation. The quantitative analysis has shown a great improvement in the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR), while the normalized absolute error (NAE) has been reduced by 77-80 %.
机译:X射线诱导的声学计算断层扫描(XACT)作为一种新型成像模态,在从生物医学成像到非破坏性测试的应用中显示出很大的潜力。提高信噪比并消除伪像在XACT成像中存在主要挑战。我们为超声环换能器介绍了一种有效的非均匀性校正方法。当所有传感器元件在采集期间具有同时时变响应时,非均匀性显示为重建图像中的环形伪影。而且,当一些有缺陷的传感器元件在整个扫描时间上的邻居具有不同的响应时,不均匀性导致重建图像中的对比度变化效果。这两种类型的非均匀性基于原因,在据据据说是宿仪结构域中的水平或垂直条带图案。该方法是基于估计校正载体并定位异常来补偿非均匀性响应的异常的基于思科的算法。我们在模拟数据上应用了所提出的算法。结果表明,该方法可以大大减少环形伪影,并且还校正失真来自传感器元件不均匀的响应。尽管伪影的减少了很大,但是所提出的方法不会损害原始空间分辨率和使用插值后的对比度。定量分析显示了信噪比(SNR)和对比度 - 噪声比(CNR)的巨大改善,而归一化绝对误差(NAE)已减少77-80%。

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