Retrospective PW-Doppler based on spatiotemporal adaptive signal processing

I. Ekroll, H. Torp, L. Løvstakken
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引用次数: 0

Abstract

The trade-off between temporal and spectral resolution in conventional PW Doppler may limit duplex/triplex quality and the depiction of rapid flow events. This work investigates how the observation time can be reduced by adaptive spectral estimation utilizing 2-D spatial information obtained by parallel receive beamforming (PRB). Two adaptive estimation techniques were investigated, the power spectral Capon (PSC) method and amplitude and phase estimation (APES). The PSC approach was preferred due to a superior spectral resolution and lower computational demands. Good results were obtained using both focused and unfocused transmit beams, and a 2–3 times increase in temporal resolution could be achieved. Spectra retrospectively calculated from CFI became feasible, which may provide new clinical information by inspection of velocity spectra simultaneously from several spatial locations.
基于时空自适应信号处理的pw -多普勒回顾性分析
在传统的PW多普勒中,时间和光谱分辨率之间的权衡可能会限制双工/三工质量和快速流动事件的描述。本文研究了如何利用平行接收波束形成(PRB)获得的二维空间信息进行自适应光谱估计,从而减少观测时间。研究了两种自适应估计技术:功率谱Capon法(PSC)和幅相估计法(APES)。PSC方法是首选的,因为它具有优越的光谱分辨率和较低的计算需求。聚焦和非聚焦发射光束均获得了良好的效果,时间分辨率提高了2-3倍。从CFI回溯计算光谱变得可行,通过同时检查多个空间位置的速度谱可以提供新的临床信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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