Abstract
Thermoacoustic imaging (TAI) is a non-ionizing, high-contrast and high-resolution modality for biomedical applications. The resolution of the reconstructed image by traditional imaging algorithm, such as back-projection (BP), is dependent on the input microwave pulse width. In this work, it is experimentally demonstrated that the quality of images reconstructed based on compressive sensing (CS), a novel imaging algorithm that can reconstruct images using fewer measurements, is largely independent on the microwave pulse width which is taken into account when building the dictionary. Quantitative analysis reveals that the peak signal to noise ratio of the reconstructed images based on CS is at least 6 dB higher than those via BP, and the correlation coefficients of the images based on CS show higher correlation than those via BP.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
