Data weighted vs. non-data weighted dual energy reconstructions for X-ray tomography

P. Sukovic, N. Clinthorne
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引用次数: 8

Abstract

X-ray transmission tomography is useful for estimation of attenuation correction for simultaneously obtained emission tomography images. Moreover, X-ray attenuation coefficients can be combined with emission measurements in order to create combined anatomical-functional images. It is imperative, then, that as low X-ray dosage as possible be used. At those fluxes implementation of iterative algorithms becomes desirable. However, that was not the case in clinical practice where X-ray fluxes used are high enough and noniterative algorithms give good results. In order to use the acquired data in a statistically efficient manner an appropriate model has to be employed. Also an efficient algorithm has to be used to solve the objective function. In this paper it is shown that at low fluxes an appropriate weighting becomes a crucial part of the model. Results are presented first for the single energy case and then for the dual energy case.
x射线断层扫描的数据加权与非数据加权双能量重建
x射线透射层析成像用于估计同时获得的发射层析成像的衰减校正。此外,x射线衰减系数可以与发射测量相结合,以创建结合的解剖功能图像。因此,使用尽可能低的x射线剂量是必要的。在这样的通量下,迭代算法的实现是可取的。然而,在临床实践中,使用的x射线通量足够高,非迭代算法给出了良好的结果,情况并非如此。为了以统计有效的方式使用所获得的数据,必须采用适当的模型。此外,还需要一种有效的算法来求解目标函数。本文表明,在低通量下,适当的加权是模型的关键部分。首先给出了单能量情况下的结果,然后给出了双能量情况下的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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