Multimodality in silico imaging of dense breasts: a comparative study of ultrasound computed tomography and digital breast tomosynthesis

Tara Diba; Andreu Badal

doi:10.1117/12.3009493

1 April 2024 Multimodality in silico imaging of dense breasts: a comparative study of ultrasound computed tomography and digital breast tomosynthesis

Tara Diba, Andreu Badal

Author Affiliations +

Proceedings Volume 12932, Medical Imaging 2024: Ultrasonic Imaging and Tomography; 129321H (2024) https://doi.org/10.1117/12.3009493
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

This study aimed to develop a software tool to simulate ultrasound computed tomography (USCT) scans of a realistic anthropomorphic breast phantom. The tool was incorporated in an existing simulation framework for x-ray based imaging, resulting in a multimodality in silico evaluation framework. Digital breast models were developed utilizing advanced mathematical modeling based on procedural generation techniques to closely mimic the complex structural and compositional heterogeneity observed in human breast tissue. The breast’s acoustic properties, including the speed of sound, density, and acoustic attenuation, were stochastically incorporated into the phantom in preparation for USCT simulation. Full waveform inversion was employed to reconstruct the ultrasound images. We were able to image a dense breast model with multiple modalities in silico. In addition to USCT simulation with the newly developed software, digital breast tomosynthesis, mammography, and computed tomography images of the same phantom were simulated using the GPU-accelerated Monte Carlo transport software MC-GPU. The presented in silico methods can be used to compare the performance of imaging technologies based on completely different physical characteristics, such as x-ray attenuation or ultrasound speed of sound. In silico evaluation has the advantage of enabling task-based evaluation in a fixed anatomy with known disease ground-truth, and without exposure of patients to ionizing radiation. With the required level of verification and validation, this framework could enhance our understanding of the performance of USCT as a standalone modality or as an adjunct to x-ray modalities, potentially providing in silico evidence that could be leveraged in regulatory evaluation of new USCT devices.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tara Diba and Andreu Badal "Multimodality in silico imaging of dense breasts: a comparative study of ultrasound computed tomography and digital breast tomosynthesis", Proc. SPIE 12932, Medical Imaging 2024: Ultrasonic Imaging and Tomography, 129321H (1 April 2024); https://doi.org/10.1117/12.3009493

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE