JOURNAL ARTICLE

A framework for ultrasound computed tomography virtual imaging trials that employs anatomically realistic numerical breast phantoms

Abstract

In silico studies for ultrasound computed tomography (USCT) can allow to explore imaging system parameters and reconstruction methods, without the economic burden and ethical concerns of clinical trials. A framework is proposed for virtual imaging trials of USCT. First, an ensemble of three-dimensional numerical breast phantoms consisting of anatomically realistic tissue structures and lesions is created. Next, acoustic properties are assigned to each tissue-type within physiological ranges. Finally, USCT measurement data are computed by simulating acoustic wave propagation. The proposed framework will establish a standard pipeline for USCT virtual imaging trials and provide publicly available large-scale datasets

Keywords:
Computer science Pipeline (software) Breast imaging Ultrasound Artificial intelligence Computer vision Medical physics Radiology Breast cancer Mammography Physics Medicine

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
0
Refs
0.02
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Ultrasound Imaging and Elastography
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
AI in cancer detection
Physical Sciences →  Computer Science →  Artificial Intelligence
Medical Imaging Techniques and Applications
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
© 2026 ScienceGate Book Chapters — All rights reserved.