Evaluating the robustness of dual apodization with cross-correlation.
Evaluating the robustness of dual apodization with cross-correlation.
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DOI:
10.1109/tuffc.2009.1038
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发表时间:
2009-02
期刊:
影响因子:
--
通讯作者:
Yen JT
中科院分区:
文献类型:
--
作者:
Seo CH;Yen JT
We have recently presented a new method to suppress side lobes and clutter in ultrasound imaging called dual apodization with cross-correlation or DAX. However, due to the random nature of speckle, artifactual black spots may arise with DAX-processed images. In this paper, we present one possible solution, called dynamic DAX, to reduce these black spots. We also evaluate the robustness of dynamic DAX in the presence of phase aberration and noise. Simulation results using a 5 MHz 128 element linear array are presented using dynamic DAX with aberrator strengths ranging from 25 ns RMS to 45 ns RMS with correlation lengths of 3 mm and 5 mm. When simulating a 3 mm diameter anechoic cyst, at least 100 % improvement in the contrast-to-noise ratio (CNR) compared to standard beamforming is seen using dynamic DAX except in the most severe case. Layers of pig skin, fat and muscle were used as experimental aberrators. Simulation and experimental results are also presented using dynamic DAX in the presence of noise. With a system signal-to-noise ratio (SNR) of at least 15 dB, we have a CNR improvement of over 100 % compared to standard beamforming. This work shows that dynamic DAX is able to reliably improve contrast-to-noise ratio in the presence of phase aberration and noise.