Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Cesare Magnetti, Veronika Zimmer, Nooshin Ghavami, Emily Skelton, Jacqueline Matthew, Karen Lloyd, Jo Hajnal, Julia A. Schnabel, Alberto Gomez
| Original language | English |
|---|---|
| Title of host publication | Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Proceedings |
| Editors | Bartlomiej W. Papiez, Ana I.L. Namburete, Mohammad Yaqub, J. Alison Noble, Mohammad Yaqub |
| Publisher | SPRINGER |
| Pages | 423-435 |
| Number of pages | 13 |
| ISBN (Print) | 9783030527907 |
| DOIs | |
| Published | 1 Jan 2020 |
| Additional links | |
| Event | 24th Annual Conference on Medical Image Understanding and Analysis, MIUA 2020 - Oxford, United Kingdom Duration: 15 Jul 2020 → 17 Jul 2020 |
| Name | Communications in Computer and Information Science |
|---|---|
| Volume | 1248 CCIS |
| ISSN (Print) | 1865-0929 |
| ISSN (Electronic) | 1865-0937 |
| Conference | 24th Annual Conference on Medical Image Understanding and Analysis, MIUA 2020 |
|---|---|
| Country/Territory | United Kingdom |
| City | Oxford |
| Period | 15/07/2020 → 17/07/2020 |
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.
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