超声计算机断层扫描中一种快速对比度改进的零相位滤波延迟乘法和

Cuijuan Lou, J. Song, Liang Zhou, Yang Peng, Mingyue Ding, M. Yuchi
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引用次数: 2

摘要

在线阵b模成像中,经时空平滑相干系数(StS-CF)加权的零相位滤波延迟乘和波束形成(ZPF-DMAS)比传统的延迟和波束形成方法具有更高的图像对比度分辨率。然而,在环形阵列超声计算机断层扫描(USCT)中,大量的虚拟接收信号可能会增加该方法的计算成本。本文提出了一种计算量较小的USCT方法:利用接收信号的空间滞后将其分成不同的组;这些基团形成一个新的更小的接收孔径;最后将StS-CF应用于新的接收孔径。对CIRS 055A模型进行了测试,比较了该方法与ZPF-DMAS的性能。结果表明,假设有N个超声波发射,B条扫描线,每条扫描线上有D个成像点,接收孔径为m元,通过N*B*D((M2-3M)/2+1)次乘法,计算复杂度降低。StS-CF在子阵尺寸为L = 16(远小于接收孔径的一半)、时间采样为P = 5时,USCT成像效果最好,与线阵b模成像效果不同。与ZPF-DMAS相比,该方法对囊性肿块和致密肿块的对比度分别提高了6.3 dB和5.7 dB。
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A Fast Contrast Improved Zero-Phase Filtered Delay Multiply and Sum in Ultrasound Computed Tomography
In linear array B-mode imaging, the zero-phase filtered delay multiply and sum beamforming (ZPF-DMAS) weighted by space-time smoothing coherence factor (StS-CF) has been proved to enhance the image contrast resolution than the traditional delay and sum method. However, the large number of virtual received signals may increase the computational cost of this method in ultrasound computed tomography (USCT) with ring array. Here, a method with less computation amount is proposed in USCT: the received signals are separated into different groups by their spatial lag; the groups form a new smaller size receive aperture; StS-CF is finally applied to the new receive aperture. CIRS model 055A is tested to compare the performances of the proposed method and ZPF-DMAS. The results show that the computational complexity has been reduced by N*B*D((M2–3M)/2+1) multiplications, supposing there are N ultrasound waves transmitted, B scan lines, D imaging points on each line and M-element receive aperture. StS-CF with a subarray size of L = 16 (far less than half the receive aperture) and P = 5 time samples gives the best result in USCT, which is different from that in linear array B-mode imaging. The proposed method can enhance contrast ratio about 6.3 dB and 5.7 dB for the cystic mass and dense mass than ZPF-DMAS, respectively.
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来源期刊
Journal of Medical Imaging and Health Informatics
Journal of Medical Imaging and Health Informatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
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6-12 weeks
期刊介绍: Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas. As an example, the Distributed Diagnosis and Home Healthcare (D2H2) aims to improve the quality of patient care and patient wellness by transforming the delivery of healthcare from a central, hospital-based system to one that is more distributed and home-based. Different medical imaging modalities used for extraction of information from MRI, CT, ultrasound, X-ray, thermal, molecular and fusion of its techniques is the focus of this journal.
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