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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Evaluation of an algorithm for semiautomated segmentation of thin tissue layers in high-frequency ultrasound images
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Evaluation of an algorithm for semiautomated segmentation of thin tissue layers in high-frequency ultrasound images

机译：高频超声图像中薄组织层半自动分割算法的评估

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摘要

An algorithm consisting of speckle reduction by median filtering, contrast enhancement using top- and bottom-hat morphological filters, and segmentation with a discrete dynamic contour (DDC) model was implemented for nondestructive measurements of soft tissue layer thickness. Algorithm performance was evaluated by segmenting simulated images of three-layer phantoms and high-frequency (40 MHz) ultrasound images of porcine aortic valve cusps in vitro. The simulations demonstrated the necessity of the median and morphological filtering steps and enabled testing of user-specified parameters of the morphological filters and DDC model. In the experiments, six cusps were imaged in coronary perfusion solution (CPS) then in distilled water to test the algorithm's sensitivity to changes in the dimensions of thin tissue layers. Significant increases in the thickness of the fibrosa, spongiosa, arid ventricularis layers, by 53.5% (p < 0.001), 88.5% (p < 0.001), and 35.1% (p = 0.033), respectively, were observed when the specimens were submerged in water. The intraobserver coefficient of variation of repeated thickness estimates ranged from 0.044 for the fibrosa in water to 0.164 for the spongiosa in CPS. Segmentation accuracy and variability depended on the thickness and contrast of the layers, but the modest variability provides confidence in the thickness measurements.
机译：对于软组织层厚度的非破坏性测量，实施了一种算法，该算法包括通过中值滤波减少斑点，使用上下帽形态过滤器进行对比度增强以及使用离散动态轮廓（DDC）模型进行分割。通过分割三层体模的仿真图像和猪主动脉瓣尖的高频（40 MHz）超声图像对算法性能进行评估。仿真证明了中值滤波和形态滤波步骤的必要性，并使用户能够测试形态滤波和DDC模型的用户指定参数。在实验中，先在冠状动脉灌注溶液（CPS）中，然后在蒸馏水中，对六个尖端进行成像，以测试算法对薄组织层尺寸变化的敏感性。浸没标本后，观察到纤维层，海绵体，干旱室厚度显着增加，分别增加了53.5％（p <0.001），88.5％（p <0.001）和35.1％（p = 0.033）。在水里。重复厚度估计值的观测者内部变异系数范围从水中的纤维层为0.044到CPS的海绵体为0.164。分割精度和可变性取决于层的厚度和对比度，但是适度的可变性为厚度测量提供了信心。

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