Breast tissue stiffness estimation for surgical guidance using gravity-induced excitation.
Breast tissue stiffness estimation for surgical guidance using gravity-induced excitation.
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DOI：
10.1088/1361-6560/aa700a
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发表时间：
2017-06-21
影响因子：
3.5
通讯作者：
Miga MI
中科院分区：
文献类型：
--
作者：
Griesenauer RH;Weis JA;Arlinghaus LR;Meszoely IM;Miga MI
组织硬度检查是乳腺癌诊断和治疗的基础。此外，已经为几种乳腺癌应用创建了用于预测乳房变形的生物力学模型。在这些应用中，必须定义本构力学性质，并且这种估计的准确性直接影响模型的整体性能。在这项研究中，我们提出了一个图像衍生的计算框架，以获得定量的，患者特定的刚度特性，在图像引导下的乳腺癌手术和干预的应用。该方法使用两个MR采集的乳房在不同的仰卧重力加载配置，以适应机械性能的生物力学乳房模型。在使用健康志愿者的重测研究中对该方法进行重现性评估，并在模拟中进一步表征。在5个人体数据集中，用于评估纤维腺体和脂肪组织硬度的受试者内变异系数范围为10.7%-27%，组内相关系数范围为0.91-0.944。在模拟中，纤维腺体的内容和变形的大小被证明有显着的影响，由图像相似性定义的目标函数的形状和凸性。这些观察提供了一个重要的一步，在表征使用非刚性图像配准方法结合生物力学模型来估计组织刚度。此外，结果表明，使用重力诱导激励的刚度估计方法可以可靠且可行地在乳腺癌手术/干预工作流程中实施。
Tissue stiffness interrogation is fundamental in breast cancer diagnosis and treatment. Furthermore, biomechanical models for predicting breast deformations have been created for several breast cancer applications. Within these applications, constitutive mechanical properties must be defined and the accuracy of this estimation directly impacts the overall performance of the model. In this study, we present an image-derived computational framework to obtain quantitative, patient specific stiffness properties for application in image-guided breast cancer surgery and interventions. The method uses two MR acquisitions of the breast in different supine gravity-loaded configurations to fit mechanical properties to a biomechanical breast model. A reproducibility assessment of the method was performed in a test–retest study using healthy volunteers and was further characterized in simulation. In five human data sets, the within subject coefficient of variation ranged from 10.7% to 27% and the intraclass correlation coefficient ranged from 0.91–0.944 for assessment of fibroglandular and adipose tissue stiffness. In simulation, fibroglandular content and deformation magnitude were shown to have significant effects on the shape and convexity of the objective function defined by image similarity. These observations provide an important step forward in characterizing the use of nonrigid image registration methodologies in conjunction with biomechanical models to estimate tissue stiffness. In addition, the results suggest that stiffness estimation methods using gravity-induced excitation can reliably and feasibly be implemented in breast cancer surgery/intervention workflows.
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影响因子：
6.7
作者：
Li X;Abramson RG;Arlinghaus LR;Kang H;Chakravarthy AB;Abramson VG;Farley J;Mayer IA;Kelley MC;Meszoely IM;Means-Powell J;Grau AM;Sanders M;Yankeelov TE
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Yankeelov TE
影响因子：
4.2
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影响因子：
3.5
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通讯作者：
Nash, M. P.
影响因子：
2.2
作者：
del Palomar, A. Perez;Calvo, B.;Doblare, M.
通讯作者：
Doblare, M.
DOI：
10.1109/jbhi.2013.2285308
发表时间：
2014-05-01
影响因子：
7.7
作者：
Georgii, Joachim;Eder, Maximilian;Westermann, Ruediger
通讯作者：
Westermann, Ruediger