A holey cavity for single-transducer 3D ultrasound imaging with physical optimization

• Published in: Signal processing Vol. 179; no. C
• Main Authors: Ghanbarzadeh-Dagheyan, Ashkan, Heredia-Juesas, Juan, Liu, Chang, Molaei, Ali, Martinez-Lorenzo, Jose Angel, Vosoughi Vahdat, Bijan, Ahmadian, Mohammad Taghi
• Format: Journal Article
• Language: English
• Published: United States Elsevier 25.09.2020
• Subjects: Born approximation; Compressive sensing; ENGINEERING; Holey cavity; Singular values; Subwavelength imaging; Tumor detection; Ultrasound imaging
• ISSN: 0165-1684; 1872-7557

Within the compressive sensing (CS) framework, one effective way to increase the likelihood of successful signal reconstruction is to employ random processes in the construction of the sensing matrix. This work presents a 3D holey cavity, with diverse frequency modes, to spectrally code, that is, randomize, the ultrasound wave fields. The simulated results show that the use of such a cavity enables imaging simple or complex targets, such as spheres or the letter E, by only a single transceiver—something that is not possible without the use of a coding structure like the cavity. The effect of noise on imaging results and the size of the targets on the first-order Born approximation (BA) are also investigated. Moreover, this study attempts to optimize the cavity, based on a single numerical metric, such as the sum of singular values (SSV) or mutual coherence (MC). Yet, it will be shown that neither of these metrics can consistently compare the norm-one imaging performance between two cavities of different materials or hole sizes. This leaves finding a quantitative metric for these kinds of optimizations an open problem.