Name
Abstract | ||
|---|---|---|
Microwave-induced thermoacoustic (TA) imaging combines the soft-tissue dielectric contrast of microwave excitation with the resolution of ultrasound for the goal of a safe, high resolution, and possibly portable imaging technique. However, the hybrid nature of this method introduces new image-reconstruction challenges in enabling sufficient accuracy and segmentation. In this paper, we propose a segmentation technique based on the polarity characteristic of TA signals. A wavelet analysis based method is proposed to identify reflection artifacts as well. The time-frequency feature of the signal is used to assist differentiating artifacts. Ex vivo verification with experimental data is also provided. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/EMBC.2014.6944685 | EMBC |
Keywords | DocType | Volume |
polarity characteristic,reflection artifacts,image segmentation,biomedical ultrasonics,ta signals,image reconstruction,microwave excitation,wavelet analysis based method,image segmentation technique,microwave-induced thermoacoustic imaging,time-frequency feature,soft-tissue dielectric contrast,biological tissues,artifact removal,image-reconstruction,microwave imaging,medical image processing,portable imaging technique,time-frequency analysis | Conference | 2014 |
ISSN | Citations | PageRank |
1557-170X | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hao Nan | 1 | 2 | 1.12 |
| Tzu-Chieh Chou | 2 | 0 | 0.34 |
| amin arbabian | 3 | 227 | 35.52 |