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医学超声成像中聚焦波束的卡彭波束形成

Capon beamforming in medical ultrasound imaging with focused beams.

作者信息

Vignon Francois, Burcher Michael R

机构信息

Philips Research North America, Ultrasound Imaging and Therapy, Briarcliff Manor, NY, USA.

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2008 Mar;55(3):619-28. doi: 10.1109/TUFFC.2008.686.

Abstract

Medical ultrasound imaging is conventionally done by insonifying the imaged medium with focused beams. The backscattered echoes are beamformed using delay-and-sum operations that cannot completely eliminate the contribution of signals backscattered by structures off the imaging beam to the beamsum. It leads to images with limited resolution and contrast. This paper presents an adaptation of the Capon beamformer algorithm to ultrasound medical imaging with focused beams. The strategy is to apply data-dependent weight functions to the imaging aperture. These weights act as lateral spatial filters that filter out off-axis signals. The weights are computed for each point in the imaged medium, from the statistical analysis of the signals backscattered by that point to the different elements of the imaging probe when insonifying it with different focused beams. Phantom and in vivo images are presented to illustrate the benefits of the Capon algorithm over the conventional delay and-sum approach. On heart sector images, the clutter in the heart chambers is decreased. The endocardium border is better defined. On abdominal linear array images, significant contrast and resolution enhancement are observed.

摘要

传统的医学超声成像通过用聚焦波束对成像介质进行超声照射来完成。反向散射回波使用延迟求和操作进行波束形成,这种操作无法完全消除成像波束外结构反向散射的信号对波束总和的贡献。这导致图像的分辨率和对比度有限。本文提出了一种将Capon波束形成器算法应用于聚焦波束超声医学成像的方法。该策略是对成像孔径应用数据依赖的加权函数。这些权重充当横向空间滤波器,滤除离轴信号。权重是针对成像介质中的每个点计算的,通过对该点在用不同聚焦波束进行超声照射时向成像探头的不同元件反向散射的信号进行统计分析来计算。文中给出了体模和体内图像,以说明Capon算法相对于传统延迟求和方法的优势。在心脏扇形图像上,心腔内的杂波减少。心内膜边界得到更好的界定。在腹部线性阵列图像上,观察到对比度和分辨率有显著提高。

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