Practical multi-material decomposition method for variable threshold micro-focus photon-counting cone-beam CT

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Yue Yang , Chuwen Huang , Zheng Sun , Hongwei Li , Wei Zhang , Xing Zhao
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引用次数: 0

Abstract

Micro-focus photon-counting cone-beam computed tomography (MF-PCCBCT) utilizes a micro-focus X-ray source and a flat-panel photon-counting detector (PCD) to simultaneously acquire high-resolution multi-energy projections of the measured object by setting different energy thresholds on the PCD. This technique has significant applications in medical imaging, including microcalcification detection, bone microstructure analysis, and small animal imaging. However, due to hardware cost and anti-noise performance considerations, some commercial PCDs currently include only a single high-energy threshold, meaning that only projections from two energy bins of the measured object can be collected at a time, restricting their multi-material decomposition (MMD) capabilities. To address this limitation, we propose a practical variable-threshold circular scanning mode, taking advantage of the long scanning period of a micro-focus X-ray source. In this mode, the object is scanned two laps consecutively, and the sampling views of the second lap are staggered with those of the first scan while changing the energy threshold. Consequently, the sample views and projections are doubled without additional hardware and scanning duration. In this scanning mode, the dual-energy projections obtained from the same lap are geometrically consistent, whereas the dual-energy projections from different laps exhibit geometric inconsistency. Thereby, we propose a nonlinear MMD mathematical model based on this scanning mode and a high-precision two-step Levenberg-Marquardt filtered back-projection (TSLM-FBP) algorithm to solve this novel mathematical problem. Finally, numerical simulation and real data experiments demonstrate that the proposed method outperforms existing state-of-the-art model-based approaches and achieves high-precision multi-material decomposition.
变阈值微聚焦光子计数锥束CT的实用多材料分解方法
微焦点光子计数锥束计算机断层扫描(pf - pccbct)利用微焦点x射线源和平板光子计数探测器(PCD),通过在PCD上设置不同的能量阈值,同时获得被测物体的高分辨率多能投影。该技术在医学成像中有重要的应用,包括微钙化检测、骨微观结构分析和小动物成像。然而,由于硬件成本和抗噪声性能的考虑,目前一些商用pcd仅包含单个高能阈值,这意味着一次只能收集来自被测物体的两个能量桶的投影,这限制了它们的多材料分解(MMD)能力。为了解决这一限制,我们提出了一种实用的可变阈值圆形扫描模式,利用微聚焦x射线源的长扫描周期。在该模式下,连续扫描对象两圈,在改变能量阈值的同时,第二圈的采样视图与第一次扫描的采样视图交错。因此,在没有额外硬件和扫描时间的情况下,示例视图和投影增加了一倍。在这种扫描方式下,同一圈得到的双能投影几何上一致,而不同圈得到的双能投影几何上不一致。因此,我们提出了基于这种扫描模式的非线性MMD数学模型和高精度两步Levenberg-Marquardt滤波反投影(TSLM-FBP)算法来解决这一新的数学问题。最后,数值模拟和实际数据实验表明,该方法优于现有的基于模型的方法,实现了高精度的多材料分解。
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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