论文标题
使用新颖的1.5D方法（模拟和体内结果）在乳房超声图像中的应变估计
Imrpoving Strain Estimation in Breast Ultrasound Images Using Novel 1.5D Approach (Simulation and In-vivo results
论文作者
论文摘要
超声弹性图是由于应用机械压缩而导致兼容组织弹性的方法。在弹性图中，通过分析回声信号来估计探索组织的局部菌株。这是由使用超声传感器对组织区域施加压力的超声换能器来实现的，导致组织位移。在压缩之前和之后获得了一组数据。沿轴向方向的这种应力不仅会在该方向上引起变形，而且还可能导致组织中的横向变形。此相对变形后来使用跟踪算法计算。最后，估计弹性，形成图像。在本文中，我们引入了一种新颖的应变估计量。提出的1.5D应变估计器使用1D窗口进行快速计算，并搜索将非轴向运动考虑在内的横向方向。我们已经使用乳房组织的模拟和体内数据研究了估计量的性能。通过与多达16 \％应用菌株的不同方法进行比较来验证我们的方法的性能。与常规方法相比，所提出的估计量表现出色。图像质量显着改善，尤其是在较高施加应变的情况下，当非轴向运动显着时。
Ultrasound elastography is the method to image the elasticity of compliant tissues due to a mechanical compression applied to it. In elastography, the local strain of explored tissue is estimated by analyzing the echo signals. This is accomplished by a sonographer who uses ultrasound transducer to apply pressure on the tissue area causing displacement of the tissue. A set of data is obtained before and after the compression. This stress along the axial direction not only causes deformation in that direction but it can also cause lateral deformation in the tissue. This relative deformation is later calculated using tracking algorithms. Finally, estimating the elasticity, images are formed. In this paper, we introduce a novel strain estimator. The proposed 1.5D strain estimator uses 1D windows for swift computations and searches the lateral direction for taking the non-axial movement into account. We have investigated the performance of our estimator using simulated and in-vivo data of breast tissue. The performance of our method is verified by comparing with different methods up to 16\% applied strain. The proposed estimator has exhibited a superior performance compared to the conventional methods. The image quality significantly improves, especially in the presence of higher applied strain, when the non-axial motion is significant.
