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Adaptive Virtual Source Imaging Using the Sequence Intensity Factor: Simulation and Experimental Study
2022
CMES - Computer Modeling in Engineering & Sciences
Virtual source (VS) imaging has been proposed to improve image resolution in medical ultrasound imaging. However, VS obtains a limited contrast due to the non-adaptive delay-and-sum (DAS) beamforming. To improve the image contrast and provide an enhanced resolution, adaptive weighting algorithms were applied in VS imaging. In this paper, we proposed an adjustable generalized coherence factor (aGCF) for the synthetic aperture sequential beamforming (SASB) of VS imaging to improve image quality.
doi:10.32604/cmes.2022.016308
fatcat:6z7uuuozgrgr7jur3iwxhnvvfi