Computational study of thermoacoustic imaging for breast cancer detection using a realistic breast model

Author

Xiong Wang ; Hao Xin ; Bauer, D.R. ; Witte, Russell S.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Arizona, Tucson, AZ, USA

fYear

2013

fDate

7-13 July 2013

Firstpage

2040

Lastpage

2041

Abstract

The effectiveness of thermoacoustic imaging (TAI) for breast cancer detection is demonstrated by a computational study using a realistic breast model. Carbon nanotubes are applied as contrast agents to enhance the detectability of breast tumors. Differential imaging is performed to visualize the tumor. The position, dimension and morphology of the tumor are all reliably reconstructed in the differential image. This work provides a sub-stantial evidence of the advantages of TAI as a potential breast cancer detection modality.

Keywords

biomedical ultrasonics; cancer; data visualisation; image reconstruction; mammography; medical image processing; microwave imaging; object detection; tumours; TAI; breast cancer detection modality; breast tumor detectability enhancement; carbon nanotubes; computational study; differential image reconstruction; microwave imaging; microwave-induced thermoacoustic imaging; realistic breast model; tumor dimension; tumor morphology; tumor position; tumor visualization; ultrasound imaging; Breast cancer; Breast tumors; Computational modeling; Microwave imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium (APSURSI), 2013 IEEE

Conference_Location

Orlando, FL

ISSN

1522-3965

Print_ISBN

978-1-4673-5315-1

Type

conf

DOI

10.1109/APS.2013.6711678

Filename

6711678