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超声成像技术的进展:图像形成与质量评估。

Advances in ultrasonography: image formation and quality assessment.

机构信息

Faculty of Engineering, University of Toyama, 3190 Gofuku, Toyama, 930-8555, Japan.

出版信息

J Med Ultrason (2001). 2021 Oct;48(4):377-389. doi: 10.1007/s10396-021-01140-z. Epub 2021 Oct 20.

DOI:10.1007/s10396-021-01140-z
PMID:34669073
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8578163/
Abstract

Delay-and-sum (DAS) beamforming is widely used for generation of B-mode images from echo signals obtained with an array probe composed of transducer elements. However, the resolution and contrast achieved with DAS beamforming are determined by the physical specifications of the array, e.g., size and pitch of elements. To overcome this limitation, adaptive imaging methods have recently been explored extensively thanks to the dissemination of digital and programmable ultrasound systems. On the other hand, it is also important to evaluate the performance of such adaptive imaging methods quantitatively to validate whether the modification of the image characteristics resulting from the developed method is appropriate. Since many adaptive imaging methods have been developed and they often alter image characteristics, attempts have also been made to update the methods for quantitative assessment of image quality. This article provides a review of recent developments in adaptive imaging and image quality assessment.

摘要

延迟求和(DAS)波束形成被广泛用于从由换能器元件组成的阵列探头获得的回波信号生成 B 模式图像。然而,DAS 波束形成所达到的分辨率和对比度取决于阵列的物理规格,例如元件的大小和间距。为了克服这一限制,自适应成像方法最近由于数字和可编程超声系统的传播而得到了广泛的探索。另一方面,评估此类自适应成像方法的性能也很重要,以验证所开发方法导致的图像特征的修改是否合适。由于已经开发了许多自适应成像方法,并且它们经常改变图像特征,因此也尝试更新图像质量定量评估的方法。本文综述了自适应成像和图像质量评估的最新进展。

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