Method for determining slice sensitivity profile of iterative reconstruction CT images using low-contrast sphere phantom

Method for determining slice sensitivity profile of iterative reconstruction CT images using low-contrast sphere phantom
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使用低对比度球体模型确定迭代重建 CT 图像的切片灵敏度分布的方法

DOI:
10.1007/s12194-021-00636-0
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发表时间:
2021
影响因子:
1.6
通讯作者:
Noto Yoshiyuki
Noto Yoshiyuki
中科院分区:
--
文献类型:
--
作者:
Narita Akihiro;Ohkubo Masaki;Fukaya Takahiro;Noto Yoshiyuki

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本文提出了一种测量使用迭代重建(IR)算法重建的计算机断层扫描(CT)图像的切片灵敏度分布(SSP)的新方法。扫描包含低对比度球形物体的模型并重建连续的横截面图像。对所有图像测量包括球体的区域中的平均 CT 值,并将其绘制为沿纵向方向的切片位置的函数,以产生平均 CT 值分布。接下来,我们以数值方式生成与球体相对应的目标函数,并获得平均 CT 值轮廓。随后,SSP 被建模为高斯函数和余弦函数的乘积。我们与建模的 SSP 进行卷积以获得。和 之间的差异使用均方根误差 (RMSE) 进行评估,通过优化 SSP 模型参数将其最小化。为了验证该方法,我们首先使用滤波反投影(FBP)图像来比较使用建议的和标准硬币方法确定的 SSP。随后,应用所提出的方法在两台扫描仪中测量四种红外算法的SSP。使用所提出的方法和硬币方法确定的 FBP 图像的 SSP 显示出良好的一致性。此外,在使用所提出的方法进行的 SSP 测量中,与每种 IR 算法都非常一致。所有测量的 RMSE 均小于 0.7 HU,表明 SSP 的准确性。因此,所提出的方法对于获得有效的 SSP 是有效的。
A novel method for measuring the slice sensitivity profile (SSP) of computed tomography (CT) images reconstructed using an iterative reconstruction (IR) algorithm is proposed herein. A phantom that included a low-contrast spherical object was scanned and consecutive cross-sectional images were reconstructed. The mean CT values in a region including the sphere were measured for all images and plotted as a function of slice position along the longitudinaldirection to yield a mean CT value profile. Next, we numerically generated an object function corresponding to the sphere and obtained the mean CT value profile. Subsequently, the SSP was modeled as a product of the Gaussian and cosine functions. We convolvedwith the modeled SSP to obtain. The difference betweenandwas evaluated using the root mean square error (RMSE), which was minimized via optimization of the SSP model parameters. To validate the methodology, we first used filtered back projection (FBP) images to compare the SSPs determined using the proposed and standard coin methods. Subsequently, the proposed method was applied to measure the SSPs of four types of IR algorithms in two scanners. The SSPs of the FBP images determined using the proposed and coin methods showed good agreement. Additionally, in the SSP measurements using the proposed method,agreed well withfor every IR algorithm. The RMSEs for all measurements were less than 0.7 HU, indicating the accuracy of the SSPs. Thus, the proposed method is effective for obtaining valid SSPs.
DOI: 10.1002/mp.13763
发表时间: 2019-11-01
期刊: MEDICAL PHYSICS
影响因子: 3.8
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发表时间: 2020
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