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.
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.