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Fast Phase Aberration Correction In Ultrasound Imaging Using Fat Layer Model

机译:使用脂肪层模型超声成像中快速相位像差校正

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Phase aberration is one of the most important factors that limit improvement to lateral resolution of ultrasound imaging system. In this paper we propose a computationally efficient method to correct the phase aberration problem arises from the subcutaneous fat layer. The method is based on the determination of thickness of the fat layer and the velocity in it to calculate the focusing delay perfectly. The thickness and velocity can be determined manually by the user through a qualitative assessment or automatically using a quantitative measure as an objective function. Minimizing the value of the entropy was selected as the cost function. The effect of the fat layer thickness and velocity were simulated as a time delays added to the radio frequency (RF) data. Experimental studies addressing that the entropy can be used to accurately determine the thickness and velocity of the fat layer depending on the selected region of interest (ROI). Images of a six pins phantom were reconstructed by two method in frequency domain by Fourier transform and in time domain, and different images were reconstructed using different aperture size. We drive the evaluation of results simulation in image reconstructed by two method and evaluation phase aberration correction when we used best thickness only and when we used optimum velocity also we do it by execution time and accuracy of image using entropy cost function.
机译:相位像差是限制改善超声成像系统的横向分辨率的最重要因素之一。在本文中,我们提出了一种计算上有效的方法来校正从皮下脂肪层出现的相位像差问题。该方法基于脂肪层的厚度的测定和它中的速度来完美地计算聚焦延迟。可以通过用户通过定性评估或使用定量措施作为目标函数自动地通过定量评估来手动确定厚度和速度。最小化熵的值被选为成本函数。模拟脂肪层厚度和速度的效果作为添加到射频(RF)数据的时间延迟。解决熵可用于根据所选择的目的区域(ROI)来精确地确定脂肪层的厚度和速度的实验研究。通过傅里叶变换和时域在频域中的两个方法重建六个引脚幻影的图像,使用不同的孔径大小重建不同的图像。当我们使用最佳厚度以及使用最佳速度时,我们在重建的两种方法和评估阶段像差校正中的图像模拟中的结果仿真评估也是使用最佳速度,我们使用熵成本函数执行时间和图像的准确度。

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