论文标题
超声波中的好与坏界限：保留解剖界限的同时抑制工件
Good and Bad Boundaries in Ultrasound Compounding: Preserving Anatomic Boundaries While Suppressing Artifacts
论文作者
论文摘要
超声3D复合对于体积重建很重要，但截至截至尚未达成共识的最佳实践。超声图像取决于探针方向和路径声波通过，因此，当从不同角度从不同角度相交的多个相交的B扫描产生不同的像素值时，没有一个单一的，理想的表示（即组合）重叠的像素值。当前的流行方法不可避免地会抑制或完全忽略有用的明亮或黑暗区域，并可能引入新的文物。在这项工作中，我们建立了一种新算法，以使超声中不同观点的重叠像素更加复杂。我们唯一利用拉普拉斯和高斯金字塔来保留最大边界对比度，而不会过分强调噪声和斑点。我们通过将我们的算法与以前的算法进行比较来评估我们的算法，我们表明我们的方法不仅可以保留光明和黑暗的细节，而且可以在某种程度上抑制伪影，而不是放大它们。
Ultrasound 3D compounding is important for volumetric reconstruction, but as of yet there is no consensus on best practices for compounding. Ultrasound images depend on probe direction and the path sound waves pass through, so when multiple intersecting B-scans of the same spot from different perspectives yield different pixel values, there is not a single, ideal representation for compounding (i.e. combining) the overlapping pixel values. Current popular methods inevitably suppress or altogether leave out bright or dark regions that are useful, and potentially introduce new artifacts. In this work, we establish a new algorithm to compound the overlapping pixels from different view points in ultrasound. We uniquely leverage Laplacian and Gaussian Pyramids to preserve the maximum boundary contrast without overemphasizing noise and speckle. We evaluate our algorithm by comparing ours with previous algorithms, and we show that our approach not only preserves both light and dark details, but also somewhat suppresses artifacts, rather than amplifying them.
