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二维最小方差基平面波复合在超快超声成像中的广义相干因子。

2-D Minimum Variance Based Plane Wave Compounding with Generalized Coherence Factor in Ultrafast Ultrasound Imaging.

机构信息

Department of Electronic Engineering, Fudan University, Shanghai 200433, China.

Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI) of Shanghai, Shanghai 200032, China.

出版信息

Sensors (Basel). 2018 Nov 23;18(12):4099. doi: 10.3390/s18124099.

Abstract

Plane wave compounding (PWC) is an effective modality for ultrafast ultrasound imaging. It can provide higher resolution and better noise reduction than plane wave imaging (PWI). In this paper, a novel beamformer integrating the two-dimensional (2-D) minimum variance (MV) with the generalized coherence factor (GCF) is proposed to maintain the high resolution and contrast along with a high frame rate for PWC. To specify, MV beamforming is adopted in both the transmitting aperture and the receiving one. The subarray technique is therefore upgraded into the sub-matrix division. Then, the output of each submatrix is used to adaptively compute the GCF using a 2-D fast Fourier transform (FFT). After the 2-D MV beamforming and the 2-D GCF weighting, the final output can be obtained. Results of simulations, phantom experiments, and in vivo studies confirm the advantages of the proposed method. Compared with the delay-and-sum (DAS) beamformer, the full width at half maximum (FWHM) is 90% smaller and the contrast ratio (CR) improvement is 154% in simulations. The over-suppression of desired signals, which is a typical drawback of the coherence factor (CF), can be effectively avoided. The robustness against sound velocity errors is also enhanced.

摘要

平面波复合(PWC)是一种用于超快超声成像的有效方法。与平面波成像(PWI)相比,它可以提供更高的分辨率和更好的降噪效果。在本文中,提出了一种新的波束形成器,将二维(2-D)最小方差(MV)与广义相干因子(GCF)相结合,以保持 PWC 的高分辨率和对比度以及高帧率。具体来说,在发射孔径和接收孔径中都采用 MV 波束形成。因此,子阵技术升级为子矩阵划分。然后,使用二维快速傅里叶变换(FFT)自适应地计算每个子矩阵的 GCF。完成二维 MV 波束形成和二维 GCF 加权后,即可获得最终输出。模拟、体模实验和体内研究的结果证实了该方法的优势。与延迟求和(DAS)波束形成器相比,在模拟中,全宽的 90%更小,对比度提高 154%。可以有效地避免相干因子(CF)的典型缺点,即对期望信号的过度抑制。对声速误差的鲁棒性也得到了增强。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/68e0/6308455/565e552d06ec/sensors-18-04099-g001.jpg

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