Name
Title | ||
|---|---|---|
Microwave-induced thermal acoustic tomography for breast tumor based on compressive sensing. |
Abstract | ||
|---|---|---|
Microwave-induced thermal acoustic tomography (MITAT) is an innovative technique to image biomedical tissues based on their electric properties. It has the advantages of both high contrast and high spatial resolution. Image reconstruction method in MITAT is always a critical issue. In this paper, a CS-MITAT (CS: compressive sensing) imaging method is proposed. Compressive sensing (CS) is a recently developed sparse signal representation and analysis framework which handles medical imaging measurements using low sampling rate or increasing imaging quality. The CS-MITAT imaging method applies CS theory to the MITAT for breast tumor imaging. In this method, an over-complete dictionary is established to make sparse measurements in the spatial domain. This treatment greatly saves measurement time. Simulations and experiments with real breast tumor tissues demonstrate the feasibility and effectiveness of the method. Compared with conventional time reversal mirror method which has been used in MITAT research, CS-MITAT provides the same peak signal-to-noise ratio imaging quality by using significantly fewer acoustic sensor positions or scanning times. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TBME.2012.2233737 | IEEE Trans. Biomed. Engineering |
Keywords | Field | DocType |
breast tumor,time reversal mirror method,peak signal-to-noise ratio imaging quality,electric properties,sparse signal representation,high spatial resolution,analysis framework,acoustic tomography,compressive sensing,over-complete dictionary,medical imaging measurements,microwave-induced thermal acoustic tomography (mitat),high contrast,cs-mitat,image reconstruction,increasing imaging quality,compressed sensing,biomedical tissues,microwave-induced thermal acoustic tomography,low sampling rate,tumours,biological effects of microwaves,image reconstruction method,biological tissues,medical imaging,microwave imaging,medical image processing,thermoacoustics,acoustics,tomography,computer simulation,dictionaries,microwaves,signal to noise ratio | Biomedical engineering,Iterative reconstruction,Medical imaging,Thermoacoustics,Computer science,Sampling (signal processing),Electronic engineering,Tomography,Microwave imaging,Image resolution,Compressed sensing | Journal |
Volume | Issue | ISSN |
60 | 5 | 1558-2531 |
Citations | PageRank | References |
10 | 0.78 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaozhang Zhu | 1 | 14 | 3.34 |
| Zhiqin Zhao | 2 | 78 | 15.27 |
| Jinguo Wang | 3 | 14 | 3.00 |
| Jian Song | 4 | 1404 | 171.45 |
| Qing-Huo Liu | 5 | 288 | 53.70 |