Suppr超能文献

利用具有不同变迹的接收波束的非相干相减来提高空间分辨率。

Improving Spatial Resolution Using Incoherent Subtraction of Receive Beams Having Different Apodizations.

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2019 Jan;66(1):5-17. doi: 10.1109/TUFFC.2018.2876285. Epub 2018 Oct 16.

Abstract

In ultrasonic imaging, reduction of lateral sidelobes can result in an improved image with less distortion and fewer artifacts. In general, apodization is used to lower sidelobes in exchange for increasing the width of the main lobe, and thus decreasing lateral resolution. Null subtraction imaging (NSI) is a nonlinear image processing technique that uses different receive apodizations on copies of the same RF data to maintain low sidelobe levels while simultaneously improving lateral resolution. The images created with three different apodization functions are combined to form an image with low sidelobe levels and apparent improvements in lateral resolution compared to conventional rectangular apodization. To evaluate the performance of this technique for different imaging tasks, experiments were performed on an ATS539 phantom containing wire targets to assess lateral resolution and cylindrical anechoic and hyperechoic targets to assess contrast. NSI images were compared against rectangular apodized images and minimum variance beamformed images. In experiments, the apparent lateral resolution was observed to improve by a factor of more than 35× when compared to rectangular apodization. Image quality was assessed by the estimation of lateral resolution (-6-dB receive beamwidth), main-lobe-to-sidelobe ratio, and contrast-to-noise ratio (CNR). Imaging with NSI using a focal number of 2 (f/2), the -6-dB beamwidth on receive as measured from a small wire target in the ATS phantom was 0.03λ compared to 2.79λ for rectangular apodization. Sidelobes were observed to decrease by 32.9 dB with NSI compared to rectangular apodization. However, the ability to observe the contrast of anechoic and hyperechoic targets reduced when utilizing the NSI scheme, i.e., the CNR decreased from -3.05 to -1.01 for anechoic targets and 1.65 to 0.45 for the hyperechoic targets.

摘要

在超声成象中,降低旁瓣可以得到失真和伪影较少的改进图象。一般来说,频率响应的幅度加权(apodization)是用于降低旁瓣,代价是主瓣变宽,从而降低横向分辨率。零相减(null subtraction)成象(NSI)是一种非线性图象处理技术,它使用同一个射频数据的复制品上不同的接收加权来保持低旁瓣电平,同时改善横向分辨率。用三种不同的加权函数生成的图象组合在一起,形成一个具有低旁瓣电平的图象,与传统的矩形加权相比,横向分辨率有明显的提高。为了评价这种技术在不同成象任务中的性能,用一个含有线状目标的 ATS539 模型体来评估横向分辨率,用圆柱形的无回声和高回声目标来评估对比,进行了实验。将 NSI 图象与矩形加权图象和最小方差波束形成图象进行了比较。在实验中,与矩形加权相比,横向分辨率的改善可观察到提高了 35 倍以上。图象质量是通过估计横向分辨率(-6-dB 接收波束宽度)、主瓣-旁瓣比和对比噪声比(CNR)来评价的。用焦点数为 2(f/2)的 NSI 进行成象时,从 ATS 模型体中的一个小线状目标测量到的接收-6-dB 波束宽度为 0.03λ,而矩形加权时为 2.79λ。与矩形加权相比,NSI 时旁瓣下降了 32.9 dB。然而,当使用 NSI 方案时,观察无回声和高回声目标的对比能力降低,即无回声目标的 CNR 从-3.05 下降到-1.01,高回声目标的 CNR 从 1.65 下降到 0.45。

相似文献

2
Apodized adaptive beamformer.变迹自适应波束形成器
J Med Ultrason (2001). 2017 Apr;44(2):155-165. doi: 10.1007/s10396-016-0764-3. Epub 2017 Jan 13.
4
5
High-Resolution Power Doppler Using Null Subtraction Imaging.高分辨率能量多普勒应用零差减成像。
IEEE Trans Med Imaging. 2024 Sep;43(9):3060-3071. doi: 10.1109/TMI.2024.3383768. Epub 2024 Sep 3.
7
Phase Modulation Beamforming for Ultrafast Plane-Wave Imaging.相位调制波束形成用于超快平面波成象。
IEEE Trans Ultrason Ferroelectr Freq Control. 2020 Oct;67(10):2003-2011. doi: 10.1109/TUFFC.2020.2993763. Epub 2020 May 11.
8
Multiline Transmit Beamforming Combined With Adaptive Apodization.多线发射波束赋形与自适应变迹相结合。
IEEE Trans Ultrason Ferroelectr Freq Control. 2018 Apr;65(4):535-545. doi: 10.1109/TUFFC.2018.2794219.
10
Benefits of minimum-variance beamforming in medical ultrasound imaging.最小方差波束形成在医学超声成像中的优势。
IEEE Trans Ultrason Ferroelectr Freq Control. 2009 Sep;56(9):1868-79. doi: 10.1109/TUFFC.2009.1263.

引用本文的文献

3
High-Resolution Power Doppler Using Null Subtraction Imaging.高分辨率能量多普勒应用零差减成像。
IEEE Trans Med Imaging. 2024 Sep;43(9):3060-3071. doi: 10.1109/TMI.2024.3383768. Epub 2024 Sep 3.
6
Detection of microcalcifications using nonlinear beamforming techniques.使用非线性波束形成技术检测微钙化。
Ultrasound Med Biol. 2023 Aug;49(8):1709-1718. doi: 10.1016/j.ultrasmedbio.2023.03.011. Epub 2023 Apr 30.
8
Deep Learning-Based Microbubble Localization for Ultrasound Localization Microscopy.基于深度学习的超声定位显微镜微泡定位。
IEEE Trans Ultrason Ferroelectr Freq Control. 2022 Apr;69(4):1312-1325. doi: 10.1109/TUFFC.2022.3152225. Epub 2022 Mar 30.
9
Improved Ultrasound Localization Microscopy Based on Microbubble Uncoupling via Transmit Excitation.基于微泡解耦的超声定位显微镜的改进:通过发射激励。
IEEE Trans Ultrason Ferroelectr Freq Control. 2022 Mar;69(3):1041-1052. doi: 10.1109/TUFFC.2022.3143864. Epub 2022 Mar 2.

本文引用的文献

3
The iterative adaptive approach in medical ultrasound imaging.医学超声成像中的迭代自适应方法。
IEEE Trans Ultrason Ferroelectr Freq Control. 2014 Oct;61(10):1688-97. doi: 10.1109/TUFFC.2014.006478.
6
A low-complexity data-dependent beamformer.一种低复杂度的数据相关波束形成器。
IEEE Trans Ultrason Ferroelectr Freq Control. 2011 Feb;58(2):281-9. doi: 10.1109/TUFFC.2011.1805.
7
Benefits of minimum-variance beamforming in medical ultrasound imaging.最小方差波束形成在医学超声成像中的优势。
IEEE Trans Ultrason Ferroelectr Freq Control. 2009 Sep;56(9):1868-79. doi: 10.1109/TUFFC.2009.1263.
8
Broadband minimum variance beamforming for ultrasound imaging.用于超声成像的宽带最小方差波束形成
IEEE Trans Ultrason Ferroelectr Freq Control. 2009 Feb;56(2):314-25. doi: 10.1109/TUFFC.2009.1040.
9

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验