Compressed sensing in microwave induced thermo-acoustic tomography

Author

Wang, J.G. ; Zhao, Z.Q. ; Zhu, X.Z. ; Song, J. ; Nie, Z.P. ; Liu, Q.H.

Author_Institution

Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2012

fDate

19-21 Oct. 2012

Firstpage

310

Lastpage

314

Abstract

Aiming to reliably reconstruct an image with fewer measurements, we adapt compressed sensing (CS) in microwave induced thermo-acoustic tomography (MITAT). Most of current existing reconstruction algorithms for MITAT employ circular detection and require a great deal of measurements, which imply long acquisition times. In this paper, CS is implemented to reconstruct an image of electromagnetic absorption distribution with fewer numbers of detection angles and Fourier samples by using gradient projection for sparse reconstruction (GPSR) algorithm. Some numerical simulation experiments are given to demonstrate the excellent performance of CS in MITAT.

Keywords

compressed sensing; image reconstruction; thermoacoustics; tomography; Fourier samples; GPSR algorithm; MITAT; circular detection; compressed sensing; electromagnetic absorption distribution; gradient projection; image reconstruction; microwave induced thermo-acoustic tomography; numerical simulation; reconstruction algorithms; sparse reconstruction; Acoustics; Image reconstruction; Microwave imaging; Sensors; Tomography; Transmission line measurements; Ultrasonic variables measurement; compressed sensing; gradient projection for sparse reconstruction; microwave induced thermo-acoustic tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Problem-Solving (ICCP), 2012 International Conference on

Conference_Location

Leshan

Print_ISBN

978-1-4673-1696-5

Electronic_ISBN

978-1-4673-1695-8

Type

conf

DOI

10.1109/ICCPS.2012.6384223

Filename

6384223