Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time

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We present a computational method for real-time, patient-specific simulation of 2D ultrasound (US) images. The method uses a large number of tracked ultrasound images to learn a function that maps position and orientation of the transducer to ultrasound images. This is a first step towards realistic patient-specific simulations that will enable improved training and retrospective examination of complex cases. Our models can simulate a 2D image in under 4ms (well within real-time constraints), and produce simulated images that preserve the content (anatomical structures and artefacts) of real ultrasound images.
Original languageUndefined/Unknown
Publication statusPublished - 11 May 2020


  • eess.IV
  • 94A08 (Primary) 68U10, 97R40 (Secondary)

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