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

Magnetti C, Zimmer V, Ghavami N, Skelton E, Matthew J, Lloyd K, Hajnal J, Schnabel JA, Gomez A (2020)

Publication Type: Conference contribution

Publication year: 2020

Journal

Communications in Computer and Information Science Springer Verlag

Publisher: Springer

Book Volume: 1248 CCIS

Pages Range: 423-435

Conference Proceedings Title: Communications in Computer and Information Science

Event location: Oxford, GBR

ISBN: 9783030527907

DOI: 10.1007/978-3-030-52791-4_33

Abstract

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 4 ms (well within real-time constraints), and produce simulated images that preserve the content (anatomical structures and artefacts) of real ultrasound images.

Involved external institutions

King’s College London GB United Kingdom (GB) Epsom and St Helier University Hospitals NHS Trust GB United Kingdom (GB)

How to cite

APA:

Magnetti, C., Zimmer, V., Ghavami, N., Skelton, E., Matthew, J., Lloyd, K.,... Gomez, A. (2020). Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time. In Bartlomiej W. Papiez, Ana I.L. Namburete, Mohammad Yaqub, J. Alison Noble, Mohammad Yaqub (Eds.), Communications in Computer and Information Science (pp. 423-435). Oxford, GBR: Springer.

MLA:

Magnetti, Cesare, et al. "Deep Generative Models to Simulate 2D Patient-Specific Ultrasound Images in Real Time." Proceedings of the 24th Annual Conference on Medical Image Understanding and Analysis, MIUA 2020, Oxford, GBR Ed. Bartlomiej W. Papiez, Ana I.L. Namburete, Mohammad Yaqub, J. Alison Noble, Mohammad Yaqub, Springer, 2020. 423-435.

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