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Time domain reconstruction of sound speed and attenuation in ultrasound computed tomography using full wave inversion

Perez-Liva, M; Herraiz, JL; Udias, JM; Miller, E; Cox, BT; Treeby, BE; (2017) Time domain reconstruction of sound speed and attenuation in ultrasound computed tomography using full wave inversion. The Journal of the Acoustical Society of America , 141 (3) pp. 1595-1604. 10.1121/1.4976688. Green open access

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Abstract

Ultrasound computed tomography (USCT) is a non-invasive imaging technique that provides information about the acoustic properties of soft tissues in the body, such as the speed of sound (SS) and acoustic attenuation (AA). Knowledge of these properties can improve the discrimination between benign and malignant masses, especially in breast cancer studies. Full wave inversion (FWI) methods for image reconstruction in USCT provide the best image quality compared to more approximate methods. Using FWI, the SS is usually recovered in the time domain, and the AA is usually recovered in the frequency domain. Nevertheless, as both properties can be obtained from the same data, it is desirable to have a common framework to reconstruct both distributions. In this work, an algorithm is proposed to reconstruct both the SS and AA distributions using a time domain FWI methodology based on the fractional Laplacian wave equation, an adjoint field formulation, and a gradient-descent method. The optimization code employs a Compute Unified Device Architecture version of the software k-Wave, which provides high computational efficiency. The performance of the method was evaluated using simulated noisy data from numerical breast phantoms. Errors were less than 0.5% in the recovered SS and 10% in the AA. VC

Type: Article
Title: Time domain reconstruction of sound speed and attenuation in ultrasound computed tomography using full wave inversion
Open access status: An open access version is available from UCL Discovery
DOI: 10.1121/1.4976688
Publisher version: http://doi.org/10.1121/1.4976688
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1550376
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