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首页> 外文期刊>Ultrasound in Medicine and Biology >NON-INVASIVE SMALL VESSEL IMAGING OF HUMAN THYROID USING MOTION-CORRECTED SPATIOTEMPORAL CLUTTER FILTERING
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NON-INVASIVE SMALL VESSEL IMAGING OF HUMAN THYROID USING MOTION-CORRECTED SPATIOTEMPORAL CLUTTER FILTERING

机译：使用运动校正的时空杂波过滤的人甲状腺非侵入性小血管成像

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Reliable assessment of small vessel blood flow in the thyroid, without using any contrast agents, can be challenging because of increased physiological motion resulting from its proximity to the pulsating carotid artery. In this study, we hypothesized that correction of tissue motion prior to singular value decomposition (SVD)-based clutter filtering can improve the coherency of the tissue components and, thus, may allow better clutter suppression and visualization of small vessels in the thyroid. We corroborated this hypothesis by conducting phantom and in vivo studies using a clinical ultrasound scanner implemented with compounded plane wave imaging. The phantom studies were conducted using a homogeneous tissue-mimicking phantom to study the impact of motion on the covariance of the spatiotemporal Doppler data, in the absence of blood activity. The non-invasive in vivo study was conducted on a 74-y-old woman with a thyroid nodule suspicious of malignancy. A rigid body-based motion correction was performed using tissue displacements obtained from 2-D normalized cross-correlation-based speckle tracking. Subsequently, the power Doppler images were computed using SVD-based spatio-temporal clutter filtering. The results from the phantom study revealed that motion can considerably reduce the covariance of the spatio-temporal data and, thus, increase the rank of the tissue components. When the phantom was subjected to a total translation displacement of 6 pixels over the entire ensemble, in each direction (axial and lateral), the covariance dropped by more than 25%. The results obtained from the non-invasive in vivo study indicated that visualization of small vessel blood flow improved with motion correction of the power Doppler ensemble. The contrast-to-noise ratio of the blood signal in motion-corrected power Doppler images was considerably higher (8.17 and 8.32 dB), compared with that obtained using the standard SVD approach at an optimal threshold (0.87 and 4.33 dB) and a lower singular value threshold (1.92 and 3.05 dB). Further, the covariance of the in vivo thyroid spatiotemporal data increased by approximately 10% with motion correction. These preliminary results indicate that motion correction can be used to improve the visualization of small vessel blood flow in the thyroid, without using any contrast agents. The results of this feasibility study were encouraging, and warrant further development and more in vivo validation in moving tissues and organs. (C) 2018 The Author(s). Published by Elsevier Inc. on behalf of World Federation for Ultrasound in Medicine & Biology.
机译：不使用任何造影剂的甲状腺中小血管血流的可靠评估，这可能是挑战，因为由于其对脉动颈动脉的邻近而导致的生理运动增加。在该研究中，我们假设在奇异值分解之前的组织运动（基于SVD）的杂波滤波可以改善组织成分的校正，因此可以允许更好的杂波抑制和甲状腺中的小容器的可视化。我们通过使用复合平面波成像实现的临床超声扫描仪进行幻像和体内研究来证实了这一假设。使用均匀的组织 - 模仿幻影进行幻影研究，以研究运动对血液活性的不存在时动作对时空多普勒数据的协方差的影响。体内研究中的非侵入性在74岁的女性上进行，其甲状腺结节可疑恶性肿瘤。使用从基于2-D标准化的基于互相关的散斑跟踪获得的组织位移进行刚性的基于体的运动校正。随后，使用基于SVD的时空杂波滤波来计算电源多普勒图像。 Phantom研究的结果显示，运动可以大大降低时空数据的协方差，从而增加组织成分的等级。当幻影在整个集合上进行6个像素的总转换位移时，在每个方向（轴向和横向）中，协方差下降超过25％。从Vivo研究中非侵入性获得的结果表明，小血管血流的可视化改善了电力多普勒合奏的运动校正。运动校正的动力多普勒图像中的血信号的对比度相比（8.17和8.32 dB），与使用标准SVD方法以最佳阈值（0.87和4.33dB）和较低的相比奇异值阈值（1.92和3.05 dB）。此外，体内甲状腺时滞的协方差随着运动校正而增加约10％。这些初步结果表明运动校正可用于改善甲状腺中小血管血流的可视化，而无需使用任何造影剂。这种可行性研究的结果令人鼓舞，并在移动组织和器官中提供进一步的发展和更多体内验证。 （c）2018提交人。由elsevier Inc.发布的Moribo Federation在医学和生物学中的超声波联合会。

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