26 April 2018 Model-based beamforming with plane wave synthesis in medical ultrasound
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Abstract
We are interested in examining how our model-based beamforming algorithm, referred to as aperture-domain model image reconstruction (ADMIRE), performs on plane wave sequences in conjunction with synthetic aperture beamforming. We also aim to identify the impact of ADMIRE applied before and after synthetic focusing. We employed simulated phantoms using Field II and tissue-mimicking phantoms to evaluate ADMIRE as applied to synthetic sequencing. We generated plane wave images with and without synthetic aperture focusing (SAF) and measured contrast and contrast-to-noise ratio (CNR). For simulated cyst images formed from single plane waves, the contrast for delay-and-sum (DAS) and ADMIRE are 15.64 and 28.34 dB, respectively, whereas the CNR are 1.76 and 3.90 dB, respectively. We also applied ADMIRE to simulated resolution phantoms having a point target at 3 cm depth on-axis. We simulated the point spread functions from data obtained from 1 plane wave and 75 steered plane waves, along with linear scans with 3 and 4 cm- focal depths. We then compared the outcome of applying ADMIRE before and after SAF using 3 and 11 steered plane waves. Finally, we applied this to an in vivo carotid artery. Based on the findings in this study, ADMIRE can be adapted to full field insonification sequences to improve image quality in plane wave imaging. Additionally, we investigated how robustly ADMIRE performs in the presence of random noise. We then address identified limitations using a conventional envelope detection method with decluttered signals.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Kazuyuki Dei, Jaime E. Tierney, Brett C. Byram, "Model-based beamforming with plane wave synthesis in medical ultrasound," Journal of Medical Imaging 5(2), 027001 (26 April 2018). https://doi.org/10.1117/1.JMI.5.2.027001 Submission: Received 25 October 2017; Accepted 2 April 2018
Submission: Received 25 October 2017; Accepted 2 April 2018
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