Material decomposition for dual-energy propagation-based phase-contrast CT
arxiv(2023)
摘要
Material decomposition refers to using the energy dependence of material
physical properties to differentiate materials in a sample, which is a very
important application in computed tomography(CT). In propagation-based X-ray
phase-contrast CT, the phase retrieval and Reconstruction are always
independent. Moreover, like in conventional CT, the material decomposition
methods in this technique can be classified into two types based on
pre-reconstruction and post-reconstruction (two-step). The CT images often
suffer from noise and artifacts in those methods because of no feedback and
correction from the intensity data. This work investigates an iterative method
to obtain material decomposition directly from the intensity data in different
energies, which means that we perform phase retrieval, reconstruction and
material decomposition in a one step. Fresnel diffraction is applied to forward
propagation and CT images interact with this intensity data throughout the
iterative process. Experiments results demonstrate that compared with two-step
methods, the proposed method is superior in accurate material decomposition and
noise reduction.
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