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X-ray beam-hardening correction in tomographic reconstruction using the Alvarez-Macovski attenuation model

机译:使用Alvarez-Macovski衰减模型的层析成像重建中的X射线束硬化校正

摘要

#$%^&*AU2019202047A120191107.pdf#####X-ray beam-hardening correction in tomographic reconstruction using the Alvarez-Macovski attenuation model ABSTRACT OF THE DISCLOSURE Methods and apparatuses disclosed herein provide beam hardening correction to tomographic reconstruction using a simplification to the Alvarez-Macovski attenuation model. An example method includes simplifying a forward projection model, the forward projection model based on an Alvarez-Macovski (AM) attenuation model, wherein the simplification of the forward projection model simplifies the AM attenuation model for one of photoelectric effect only, constant density, constant atomic number, and density proportional to atomic number, and performing an iterative reconstruction of a sample using the simplified forward projection model, the iterative reconstruction weighted by a first spectrum, wherein measured image data of the sample used in the iterative reconstruction is obtained at a first energy, and wherein a reverse operation of the iterative reconstruction is a non-adjoint to the simplified forward projection model. P0006867AU_22405840_1
机译:#$%^&* AU2019202047A120191107.pdf #####层析成像重建中的X射线束硬化校正使用Alvarez-Macovski衰减模型披露摘要本文公开的方法和设备提供束硬化校正以使用Alvarez-Macovski衰减的简化进行层析成像重建模型。示例方法包括简化正向投影模型,即正向基于Alvarez-Macovski(AM)衰减模型的投影模型,其中前向投影模型的简化简化了一个模型的AM衰减模型仅光电效应,恒定密度,恒定原子序数和密度与原子序数成正比,并使用简化的前向投影模型,迭代重建由第一个光谱,其中在迭代重建中使用的样本的测量图像数据为以第一能量获得,并且其中迭代重建的反向操作是与简化的前向投影模型无关。P0006867AU_22405840_1

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