声音对比成像使用均匀环形结构的换能器与重建

Tran Quang-Huy, Tran Duc-Tan
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引用次数: 1

摘要

超声断层扫描提供了在没有电离辐射的情况下检测尺寸小于入射压力波波长的非常小的肿瘤的潜力。基于逆散射技术,这种成像方式利用一些材料特性,如声音对比度和衰减,以检测小物体。超声断层成像中最常用的方法之一是畸变玻恩迭代法(DBIM)。压缩感知技术作为提高图像重建质量的一种很有前途的方法应用于DBIM中。然而,这种方法中传感器的随机测量配置在实际中很难设置。因此,本文利用换能器较简单的稀疏均匀测量配置设置和稀疏散射域l1非线性正则化的高质量图像重建。仿真结果表明,该方法在显著降低总运行时间和归一化误差方面具有良好的性能。
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Sound contrast imaging using uniform ring configuration of transducers with reconstruction
Ultrasound tomography offers the potential for detecting of very small tumors whose sizes are smaller than the wavelength of the incident pressure wave without ionizing radiation. Based on inverse scattering technique, this imaging modality uses some material properties such as sound contrast and attenuation in order to detect small objects. One of the most commonly used methods in ultrasound tomography is the Distorted Born Iterative Method (DBIM). The compressed sensing technique was applied in the DBIM as a promising approach for the image reconstruction quality improvement. Nevertheless, the random measurement configuration of transducers in this method is very difficult to set up in practice. Therefore, in this paper, we take advantages of simpler sparse uniform measurement configuration set-up of transducers and high-quality image reconstruction of l1 non-linear regularization in sparse scattering domain. The simulation results demonstrate the high performance of the proposed approach in terms of tremendously reduced total runtime and normalized error.
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