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用于数字乳腺断层合成的三维拟人化体模纹理逼真度的验证

Validation of the Textural Realism of a 3D Anthropomorphic Phantom for Digital Breast Tomosynthesis.

作者信息

Acciavatti Raymond J, Hsieh Meng-Kang, Gastounioti Aimilia, Hu Yifan, Chen Jinbo, Maidment Andrew D A, Kontos Despina

机构信息

University of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia PA 19104.

University of Pennsylvania, Department of Epidemiology, Biostatistics, & Informatics, 423 Guardian Drive, Philadelphia PA 19104.

出版信息

Proc SPIE Int Soc Opt Eng. 2018 Jul;10718. doi: 10.1117/12.2318029. Epub 2018 Jul 6.

Abstract

In this paper, texture calculations are used to validate the realism of a physical anthropomorphic phantom for digital breast tomosynthesis. The texture features were compared against clinical mammography data. Three groups of features (grey-level histogram, co-occurrence, and run-length) were considered. The features were analyzed over a broad range of technique settings (kV and mAs). These calculations were done in the central slice of the reconstruction as well as the synthetic 2D mammogram. For each feature, the clinical data were binned into strata based on the compressed breast thickness. It was demonstrated that the clinical features vary by thickness. To evaluate the realism of the phantom, each feature was compared against clinical data in the same thickness stratum. For the purpose of this paper, a feature was considered to be realistic if it was within the middle 95% of the statistical distribution of clinical values. In the reconstruction, most features were found to exhibit realism; specifically, all 12 grey-level histogram features, four out of seven co-occurrence features, and three out of seven run-length features. The realism of most features was robust to changes in the technique settings. However, in the synthetic 2D mammogram, fewer features were found to exhibit realism. In conclusion, this paper provides a validation of the textural realism of the phantom in the reconstruction, and shows that there is less realism in the synthetic 2D mammogram. We identify the features that should be considered to refine the design of the phantom in future work.

摘要

在本文中,纹理计算用于验证用于数字乳腺断层合成的物理拟人化体模的逼真度。将纹理特征与临床乳腺钼靶数据进行比较。考虑了三组特征(灰度直方图、共生矩阵和游程长度)。在广泛的技术设置(千伏和毫安秒)范围内对这些特征进行分析。这些计算在重建的中心切片以及合成二维乳腺钼靶图像中进行。对于每个特征,根据压缩乳腺厚度将临床数据分层。结果表明临床特征随厚度而变化。为了评估体模的逼真度,将每个特征与相同厚度分层中的临床数据进行比较。就本文而言,如果一个特征在临床值统计分布的中间95%范围内,则认为该特征是逼真的。在重建中,发现大多数特征表现出逼真度;具体而言,所有12个灰度直方图特征、7个共生矩阵特征中的4个以及7个游程长度特征中的3个。大多数特征的逼真度对技术设置的变化具有鲁棒性。然而,在合成二维乳腺钼靶图像中,发现表现出逼真度的特征较少。总之,本文对重建中体模的纹理逼真度进行了验证,并表明合成二维乳腺钼靶图像中的逼真度较低。我们确定了在未来工作中应考虑用于改进体模设计的特征。

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本文引用的文献

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Strengths and Weaknesses of Synthetic Mammography in Screening.
Radiographics. 2017 Nov-Dec;37(7):1913-1927. doi: 10.1148/rg.2017170032.
2
Imaging With Synthesized 2D Mammography: Differences, Advantages, and Pitfalls Compared With Digital Mammography.
AJR Am J Roentgenol. 2017 Jul;209(1):222-229. doi: 10.2214/AJR.16.17476. Epub 2017 May 2.
3
Clinical Performance of Synthesized Two-dimensional Mammography Combined with Tomosynthesis in a Large Screening Population.
Radiology. 2017 Apr;283(1):70-76. doi: 10.1148/radiol.2017162674. Epub 2017 Feb 21.
5
Implementation of Synthesized Two-dimensional Mammography in a Population-based Digital Breast Tomosynthesis Screening Program.
Radiology. 2016 Dec;281(3):730-736. doi: 10.1148/radiol.2016160366. Epub 2016 Jul 28.
7
Digital Breast Tomosynthesis: State of the Art.
Radiology. 2015 Dec;277(3):663-84. doi: 10.1148/radiol.2015141303.
9
10
Parenchymal texture analysis in digital mammography: robust texture feature identification and equivalence across devices.
J Med Imaging (Bellingham). 2015 Apr;2(2):024501. doi: 10.1117/1.JMI.2.2.024501. Epub 2015 Apr 3.

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