作者: M. Pérez-Liva , J. L. Herraiz , J. M. Udías , E. Miller , B. T. Cox
DOI: 10.1121/1.4976688
关键词:
摘要: Ultrasound computed tomography (USCT) is a non-invasive imaging technique that provides information about the acoustic properties of soft tissues in body, such as speed sound (SS) and attenuation (AA). Knowledge these can improve discrimination between benign malignant masses, especially breast cancer studies. Full wave inversion (FWI) methods for image reconstruction USCT provide best quality compared to more approximate methods. Using FWI, SS usually recovered time domain, AA frequency domain. Nevertheless, both be obtained from same data, it desirable have common framework reconstruct distributions. In this work, an algorithm proposed distributions using domain FWI methodology based on fractional Laplacian equation, adjoint field formulation, gradient-descent method. The optimization code employs Compute Unified Device Architecture version software k-Wave, which high computational efficiency. performance method was evaluated simulated noisy data numerical phantoms. Errors were less than 0.5% 10% AA.