The delay multiply and sum beamforming algorithm in ultrasound B-mode medical imaging.

IEEE transactions on medical imaging(2015)

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摘要
Most of ultrasound medical imaging systems currently on the market implement standard Delay and Sum (DAS) beamforming to form B-mode images. However, image resolution and contrast achievable with DAS are limited by the aperture size and by the operating frequency. For this reason, different beamformers have been presented in the literature that are mainly based on adaptive algorithms, which allow achieving higher performance at the cost of an increased computational complexity. In this paper, we propose the use of an alternative nonlinear beamforming algorithm for medical ultrasound imaging, which is called Delay Multiply and Sum (DMAS) and that was originally conceived for a RADAR microwave system for breast cancer detection. We modify the DMAS beamformer and test its performance on both simulated and experimentally collected linear-scan data, by comparing the Point Spread Functions, beampatterns, synthetic phantom and in vivo carotid artery images obtained with standard DAS and with the proposed algorithm. Results show that the DMAS beamformer outperforms DAS in both simulated and experimental trials and that the main improvement brought about by this new method is a significantly higher contrast resolution (i.e., narrower main lobe and lower side lobes), which turns out into an increased dynamic range and better quality of B-mode images.
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关键词
ultrasound medical imaging system,radar microwave system,operating frequency,linear-scan data,alternative nonlinear beamforming algorithm,image resolution,blood vessels,higher contrast resolution,biomedical ultrasonics,adaptive algorithm,contrast resolution,aperture size,beamforming,image contrast,ultrasound b-mode medical imaging,beampatterns,delay multiply and sum,delay multiply and sum beamforming algorithm,dmas beamformer,computational complexity,cancer,ultrasound medical imaging,in vivo carotid artery images,synthetic phantom,standard das,radar,optical transfer function,microwave imaging,phantoms,breast cancer detection,medical image processing,point spread functions,rf signals,apertures,biomedical imaging
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