SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing

06/07/2023

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by   Lisa Y. W. Tang, et al.

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We propose to formulate point cloud extraction from ultrasound volumes as an image segmentation problem. Through this convenient formulation, a quick prototype exploring various variants of the U-Net architecture was developed and evaluated. This report documents the experimental results compiled using a training dataset of 5 labelled ultrasound volumes and 84 unlabelled volumes that got completed in a two-week period as part of a challenge submission to an open challenge entitled “Deep Learning in Ultrasound Image Analysis”. Source code is shared with the research community at this GitHub URL <https://github.com/lisatwyw/smrvis>.