Suppr超能文献

乳腺结构的定位。

On the orientation of mammographic structure.

机构信息

Department of Radiology, The University of Chicago, Chicago, IL 60637, USA.

出版信息

Med Phys. 2011 Oct;38(10):5303-6. doi: 10.1118/1.3633905.

Abstract

PURPOSE

Burgess et al. have shown that the power-spectral density of mammographic breast tissue P(f) follows a power-law, P(f) = c∕f(β).(1) Due to the complexity of the breast anatomy, breast phantoms often make use of power-law backgrounds to approximate the irregular texture of breast images. However, the current methodology of estimating power-law coefficients assumes that the breast structure is isotropic. The purpose of this letter is to demonstrate that breast anatomic structure is not isotropic, but in fact has a preferred orientation. Further, we present a formalism to estimate power-law coefficients β and c while accounting for tissue orientation in mammographic regions-of-interests (ROIs). We then show the effect of structure orientation on β and c, as well as on the appearance of simulated power-law backgrounds.

METHODS

When breast tissue exhibits a preferred orientation, the radial symmetry in the associated power spectrum is broken. The new symmetry was fit by an ellipsoidal model. Ellipse tilt angle and axis ratio were accounted for in the power-law fit.

RESULTS

On average, breast structure was found to point toward the nipple: the average orientation in MLO views was 22.5 °, while it was 5 ° for CC views, and the mean orientation for left breasts was negative while it was positive for right breasts. For both power-law magnitude and exponent, the mean difference was statistically significant (<Δβ > = -0.096, <Δlog(c) > =-0.192).

CONCLUSIONS

A formalism for quantification of breast structure and structure orientation is provided. The difference in power-law coefficient estimates when accounting for orientation was found to be statistically significant. Examples of statistically defined backgrounds indicate that breast structure is mimicked more closely when structure orientation is accounted for.

摘要

目的

Burgess 等人已经表明,乳腺组织的功率谱密度 P(f) 遵循幂律,P(f)=c∕f(β)。(1)由于乳腺解剖结构的复杂性,乳腺体模通常利用幂律背景来近似乳腺图像的不规则纹理。然而,目前估计幂律系数的方法假设乳腺结构是各向同性的。本函的目的是证明乳腺解剖结构不是各向同性的,而是具有一个优先取向。此外,我们提出了一种形式来估计β和 c 的幂律系数,同时考虑了乳腺感兴趣区(ROI)中的组织取向。然后,我们展示了结构取向对β和 c 以及模拟幂律背景外观的影响。

方法

当乳腺组织表现出优先取向时,相关功率谱中的径向对称被打破。新的对称性通过椭圆模型拟合。椭圆倾斜角和轴比在幂律拟合中得到了考虑。

结果

平均而言,乳腺结构被发现指向乳头:在 MLO 视图中的平均取向为 22.5°,而在 CC 视图中为 5°,左乳的平均取向为负,而右乳的平均取向为正。对于幂律幅度和指数,平均差异具有统计学意义(<Δβ>=-0.096,<Δlog(c)>=-0.192)。

结论

提供了一种量化乳腺结构和结构取向的形式。当考虑取向时,幂律系数估计的差异具有统计学意义。统计定义背景的示例表明,当考虑结构取向时,乳腺结构的模拟更接近。

相似文献

1
On the orientation of mammographic structure.乳腺结构的定位。
Med Phys. 2011 Oct;38(10):5303-6. doi: 10.1118/1.3633905.

引用本文的文献

4
Evaluation of non-Gaussian statistical properties in virtual breast phantoms.虚拟乳腺模型中非高斯统计特性的评估。
J Med Imaging (Bellingham). 2019 Apr;6(2):025502. doi: 10.1117/1.JMI.6.2.025502. Epub 2019 Jun 14.
9

本文引用的文献

5
Introducing DeBRa: a detailed breast model for radiological studies.介绍DeBRa:一种用于放射学研究的详细乳腺模型。
Phys Med Biol. 2009 Jul 21;54(14):4533-45. doi: 10.1088/0031-9155/54/14/010. Epub 2009 Jun 26.
8
Signal detection in power-law noise: effect of spectrum exponents.幂律噪声中的信号检测:频谱指数的影响
J Opt Soc Am A Opt Image Sci Vis. 2007 Dec;24(12):B52-60. doi: 10.1364/josaa.24.000b52.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验