Decoding multiline transmit ultrasound data for synthetic focusing

Nick Bottenus

doi:10.1117/12.2610699

4 April 2022 Decoding multiline transmit ultrasound data for synthetic focusing

Nick Bottenus

Proceedings Volume 12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography; 1203805 (2022) https://doi.org/10.1117/12.2610699
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

Multiline transmit (MLT) imaging has been demonstrated to provide benefits in frame rate by sending sound in multiple directions during a single pulse-echo event, but at the expense of "cross-talk" artifacts. These artifacts arise from the fact that the multiple transmit beams have side lobes that overlap in space, as do receive focusing beams. These result in a degradation of contrast and target detectability in reconstructed images. Several solutions have been demonstrated to reduce these artifacts, including transmit/receive apodization, adaptive beamforming, and coherence processing. We demonstrate a new approach to reconstructing these data by recognizing the MLT acquisition sequence as a spatiotemporal encoding of the array data. Decoding of these data enable improved focusing by synthetic aperture methods and reduce cross-talk artifacts. Simulation and phantom experiments demonstrate improvements in lesion detectability and signal-to-noise ratio compared to conventional dynamic receive focusing.

Citation Download Citation

Nick Bottenus "Decoding multiline transmit ultrasound data for synthetic focusing", Proc. SPIE 12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography, 1203805 (4 April 2022); https://doi.org/10.1117/12.2610699

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