首次实验验证多角度μ子断层成像,提升稀疏数据下成像效果。
First experimental study of multiple orientation muon tomography, with image optimization in sparse data environments
- 通过旋转物体采集多角度μ子散射数据,融合深度聚焦重建图像。
- 稀疏数据下,深度聚焦组合法比传统反投影法更有效区分金属成分。
- 适用于低通量场景,如大型密实物体无损检测,适合工业安检应用。
由于宇宙射线μ子具有强穿透能力,可用于探测厚实致密物体。作为带电粒子,μ子可通过电离探测器追踪其位置和方向。在物体两侧设置探测器,可利用μ子方向变化提取内部散射信息,进而生成与密度和原子序数相关的散射强度图像。传统方法通常采用单一探测器-物体朝向,借助较强的向下μ子通量,实现平面成像并带有一定深度信息。已有多个仿真研究探讨多角度断层成像,可在更短时间内形成三维表征。本文首次开展实验性多角度μ子断层成像研究,使用装有不同金属楔块的混凝土填充钢筒作为目标物,在不同探测器-物体朝向下收集数据。采用两种断层成像方法融合各角度数据。结果表明,在稀疏数据条件下,结合多个深度聚焦重建的方法优于传统反拉东变换(CT常用),能更有效地生成可用图像。鉴于宇宙射线μ子通量受限,本研究对比了不同成像技术在稀疏数据下的表现;采用深度聚焦组合法时,所需朝向数量更少,即可区分金属楔块的组成差异。
原文摘要 · Abstract (English)
Due to the high penetrating power of cosmic ray muons, they can be used to probe very thick and dense objects. As charged particles, they can be tracked by ionization detectors, determining the position and direction of the muons. With detectors on either side of an object, particle direction changes can be used to extract scattering information within an object. This can be used to produce a scattering intensity image within the object related to density and atomic number. Such imaging is typically performed with a single detector-object orientation, taking advantage of the more intense downward flux of muons, producing planar imaging with some depth-of-field information in the third dimension. Several simulation studies have been published with multi-orientation tomography, which can form a three-dimensional representation faster than a single orientation view. In this work we present the first experimental multiple orientation muon tomography study. Experimental muon-scatter based tomography was performed using a concrete filled steel drum with several different metal wedges inside, between detector planes. Data was collected from different detector-object orientations by rotating the steel drum. The data collected from each orientation were then combined using two different tomographic methods. Results showed that using a combination of multiple depth-of-field reconstructions, rather than a traditional inverse Radon transform approach used for CT, resulted in more useful images for sparser data. As cosmic ray muon flux imaging is rate limited, the imaging techniques were compared for sparse data. Using the combined depth-of-field reconstruction technique, fewer detector-object orientations were needed to reconstruct images that could be used to differentiate the metal wedge compositions.
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