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Optimization of Array Encoding for Ultrasound Imaging
March 4, 2024, 5:42 a.m. | Jacob Spainhour, Korben Smart, Stephen Becker, Nick Bottenus
cs.LG updates on arXiv.org arxiv.org
Abstract: Objective: The transmit encoding model for synthetic aperture imaging is a robust and flexible framework for understanding the effect of acoustic transmission on ultrasound image reconstruction. Our objective is to use machine learning (ML) to construct scanning sequences, parameterized by time delays and apodization weights, that produce high quality B-mode images. Approach: We use an ML model in PyTorch and simulated RF data from Field II to probe the space of possible encoding sequences for …
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