ISSN 1004-4140
    CN 11-3017/P

    中子/X射线双模态计算机层析成像技术研究进展与展望

    Advances and Perspectives in Neutron/X-ray Dual-modal Computed Tomography

    • 摘要: 面向复杂非均质材料内部微观结构演变与多相组分分布的精细表征需求,中子/X射线双模态计算机层析成像(dual-modal neutron/X-ray CT)技术凭借光子-电子云相互作用与中子-原子核散射机制的本征差异,构建了集高原子序数骨架成像与氢、锂等轻元素(及特定同位素)高敏感探测于一体的互补表征体系,有效突破了单一模态的“成像盲区”。本文系统综述了该技术的研究现状与演进趋势,深入阐释了基于电子密度与核散射截面差异的物理互补机制;系统归纳了从“离线分体式”向“原位一体化”演进的主流系统架构,辩证分析了正交、倾斜及共线几何构型在工程实现上的权衡策略;并重点探讨了跨模态三维高精度配准、基于二元直方图的相分割及多维图像融合等关键数据处理算法。在工程、文化遗产等领域,重点论述了该技术在解析锂离子电池电化学动态行为、地质多孔介质流体运移机制及金属文物深层病害诊断等应用层面的突破性进展。针对当前技术面临的时空分辨率失配、中子源通量受限及定量化分析困难等核心瓶颈,本文提出未来应聚焦于高通量紧凑型中子源研制、人工智能驱动的计算成像算法以及多物理场耦合原位监测技术,以推动该技术从科学探索向普适性工业检测的实质性跨越。

       

      Abstract: Dual-modal neutron/X-ray computed tomography (CT) has emerged as a frontier technique to address the critical demand for high-precision, non-destructive characterization of the microstructural evolution and multiphase distribution within complex heterogeneous materials. By leveraging the intrinsic disparity in interaction mechanisms, specifically, the photon-electron cloud interaction is dependent on the atomic number versus the neutron-nucleus scattering, which is nonlinear and sensitive to light elements/isotopes. This technology constructs a complementary characterization framework. This strategy effectively overcomes the “imaging blind spots” inherent to single-mode techniques, allowing for comprehensive analysis of organic-inorganic composites and light-heavy element coexistence systems. This paper systematically reviews the current status and evolutionary trends in dual-modal CT, elucidating the physical complementarity based on differences in electron density and nuclear scattering cross sections. Subsequently, it categorizes mainstream system architectures evolving from “offline/separated” to “in-situ/integrated” configurations, critically analyzing the engineering trade-offs between orthogonal, inclined, and collinear geometries, while delving into key data processing algorithms such as high-precision cross-modal 3D registration, bivariate histogram-based phase segmentation, and multidimensional image fusion. In terms of engineering and cultural heritage applications, this paper highlights the breakthrough advances in delineating the electrochemical dynamics of Li-ion batteries, fluid transport mechanisms in geological porous media, and the corrosion assessment of metal artifacts. Finally, to address core bottlenecks such as spatiotemporal resolution mismatch, limited neutron flux, and quantitative fusion challenges, the author suggests that future trajectories prioritize the development of high-flux compact neutron sources, AI-driven computational imaging algorithms, and multiphysics coupled in situ monitoring technologies. This will propel the technology from scientific research to a significant advancement in universal industrial inspection.

       

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