Journal
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
Volume 141, Issue 3, Pages 1595-1604Publisher
ACOUSTICAL SOC AMER AMER INST PHYSICS
DOI: 10.1121/1.4976688
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Funding
- Project TOPUS-CM of the Community of Madrid [S2013/MIT-3024]
- FPU [12/06301]
- Spanish Ministry of Education, Culture, and Sport
- Engineering and Physical Sciences Research Council (EPSRC), UK [EP/L020262/1, EP/M011119/1]
- EPSRC [EP/P008860/1, EP/M011119/1, EP/L020262/1, EP/E050980/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/P008860/1, EP/E050980/1, EP/M011119/1, EP/L020262/1] Funding Source: researchfish
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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 kappa-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. (C) 2017 Acoustical Society of America.
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