Simulating Ultrasound Images from CT Scans

Sahar Nasser, Amit Sethi

2023

Abstract

Anatomical information in ultrasound (US) imaging has not been exploited fully because its wave interference pattern (WIP) has been viewed as speckle noise. We tested the idea that more information can be retrieved by disentangling the WIP rather than discarding it as noise. We numerically solved the forward model of generating US images from computed tomography (CT) images by solving wave-equations using the Stride library. By doing so, we have paved the way for using deep neural networks to be trained on the data generated by the forward model to simulate the solution of the inverse problem, which is generating the CT-style and CT-quality images from a real US image. We demonstrate qualitative features of the generated images that are rich in anatomical details and realism.

Paper Citation

in Harvard Style

Nasser S. and Sethi A. (2023). Simulating Ultrasound Images from CT Scans. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 2: BIOIMAGING; ISBN 978-989-758-631-6, SciTePress, pages 138-145. DOI: 10.5220/0011780700003414

in Bibtex Style

@conference{bioimaging23,
author={Sahar Nasser and Amit Sethi},
title={Simulating Ultrasound Images from CT Scans},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 2: BIOIMAGING},
year={2023},
pages={138-145},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011780700003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 2: BIOIMAGING
TI - Simulating Ultrasound Images from CT Scans
SN - 978-989-758-631-6
AU - Nasser S.
AU - Sethi A.
PY - 2023
SP - 138
EP - 145
DO - 10.5220/0011780700003414
PB - SciTePress