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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Discrimination of breast microcalcifications using a strain-compounding technique with ultrasound speckle factor imaging
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Discrimination of breast microcalcifications using a strain-compounding technique with ultrasound speckle factor imaging

机译:使用应变复合技术和超声散斑因子成像鉴别乳房微钙化

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The usefulness of breast ultrasound could be extended by improving the detection of microcalcifications by being able to detect and enhance microcalcifications while simultaneously eliminating hyperechoic spots (e.g., speckle noise and fibrocystic changes) that can be mistaken for microcalcifications (i.e., false microcalcifications). This study investigated the use of a strain-compounding technique with speckle factor (SF) imaging to analyze the degree of scatterer redistributions in breast tissues under strain conditions for identifying microcalcifications and false microcalcifications. The efficacy of the proposed method was tested by collecting raw data of ultrasound backscattered signals from 26 lesions at BI-RADS category 4 or 5 with suspicious microcalcifications. The different strain conditions were created by applying manual compression to deform the breast lesion. For each region in which microcalcifications were suspected, estimates of the SNR of the strain-compounding B-scan images and estimates of the mean SF (SFavg) in the strain-compounding SF images were calculated. Compared with microcalcifications, the severity of speckle of the false microcalcifications would be easily degraded under compressive strain conditions. The results demonstrated that the SNR estimates in the strain-compounding B-scan images for microcalcifications and false microcalcifications were 5.22 1; 1.04 (mean 1; standard deviation) and 4.62 1; 1.09, respectively; the corresponding SFavg estimates in the strain-compounding SF images were 0.47 1; 0.10 and 0.22 1; 0.10 (p < 0.01). The mean area under the receiver operating characteristic curve using the SNR estimate was 0.71, whereas that using the SFavg estimate was 0.94. These findings indicate that the strain-compounding SF imaging method is more effective at discriminating between microcalcifications and false microcalcifications.
机译:通过能够检测和增强微钙化,同时消除可能被误认为是微钙化(例如,虚假微钙化)的高回声点(例如斑点噪声和纤维囊变),可以改善微钙化的检测,从而扩大乳房超声的用途。这项研究调查了使用带有斑点因子(SF)成像的应变复合技术来分析应变条件下乳腺组织中散射体重新分布的程度,以识别微钙化和假微钙化。通过收集来自可疑微钙化的4级或5级BI-RADS的26个病灶的超声反向散射信号的原始数据,测试了该方法的有效性。通过施加手动压力使乳腺病变变形来创建不同的应变条件。对于怀疑存在微钙化的每个区域,计算了应变复合B扫描图像的SNR估计值和应变复合SF图像中的平均SF(SFavg)估计值。与微钙化相比,假微钙化的斑点严重程度在压缩应变条件下容易降低。结果表明,应变复合B扫描图像中微钙化和假微钙化的SNR估计值为5.22 1; 1.04(平均值1;标准偏差)和4.62 1; 1.09;应变复合SF图像中相应的SFavg估计为0.47 1; 0.10和0.22 1; 0.10(p <0.01)。使用SNR估计的接收机工作特性曲线下的平均面积为0.71,而使用SFavg估计的平均面积为0.94。这些发现表明,应变复合SF成像方法在区分微钙化和假微钙化方面更有效。

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