Segmentation and artifact removal in microwave-induced thermoacoustic imaging
Part Of
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Start Page
4747
End Page
4750
Date Issued
2014-08
Author(s)
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.
Event(s)
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, 26 August 2014 - 30 August 2014
Publisher
IEEE
Type
conference paper