• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Beamforming Through Regularized Inverse Problems in Ultrasound Medical Imaging
【24h】

Beamforming Through Regularized Inverse Problems in Ultrasound Medical Imaging

机译：通过超声医学成像中的规则逆问题进行波束成形

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Beamforming (BF) in ultrasound (US) imaging has significant impact on the quality of the final image, controlling its resolution and contrast. Despite its low spatial resolution and contrast, delay-and-sum (DAS) is still extensively used nowadays in clinical applications, due to its real-time capabilities. The most common alternatives are minimum variance (MV) method and its variants, which overcome the drawbacks of DAS, at the cost of higher computational complexity that limits its utilization in real-time applications. In this paper, we propose to perform BF in US imaging through a regularized inverse problem based on a linear model relating the reflected echoes to the signal to be recovered. Our approach presents two major advantages: 1) its flexibility in the choice of statistical assumptions on the signal to be beamformed (Laplacian and Gaussian statistics are tested herein) and 2) its robustness to a reduced number of pulse emissions. The proposed framework is flexible and allows for choosing the right tradeoff between noise suppression and sharpness of the resulted image. We illustrate the performance of our approach on both simulated and experimental data, with in vivo examples of carotid and thyroid. Compared with DAS, MV, and two other recently published BF techniques, our method offers better spatial resolution, respectively contrast, when using Laplacian and Gaussian priors.
机译：超声（US）成像中的波束成形（BF）对最终图像的质量有重要影响，并控制其分辨率和对比度。尽管其空间分辨率和对比度低，但由于其实时性，时延求和（DAS）仍在当今的临床应用中得到广泛使用。最常见的替代方法是最小方差（MV）方法及其变体，它克服了DAS的缺点，但以更高的计算复杂度为代价，这限制了其在实时应用程序中的利用率。在本文中，我们建议通过基于将反射回波与要恢复的信号相关的线性模型的正则化反问题，在US成像中执行BF。我们的方法具有两个主要优点：1）在选择要形成波束的信号的统计假设时具有灵活性（此处对拉普拉斯和高斯统计进行了测试）； 2）对于减少脉冲发射的鲁棒性。所提出的框架是灵活的，并且允许在噪声抑制和结果图像的清晰度之间选择正确的折衷。我们用颈动脉和甲状腺的体内例子说明了我们的方法在模拟和实验数据上的性能。与DAS，MV和其他两个最近发布的BF技术相比，当使用拉普拉斯和高斯先验时，我们的方法分别提供了更好的空间分辨率和对比度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号