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

Xiong Wang, Hao Xin, Daniel R. Bauer, Russell S. Witte

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

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.

Original languageEnglish (US)
Title of host publication2013 IEEE Antennas and Propagation Society International Symposium, APSURSI 2013 - Proceedings
Pages2040-2041
Number of pages2
DOIs
StatePublished - 2013
Event2013 IEEE Antennas and Propagation Society International Symposium, APSURSI 2013 - Orlando, FL, United States
Duration: Jul 7 2013Jul 13 2013

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
ISSN (Print)1522-3965

Other

Other2013 IEEE Antennas and Propagation Society International Symposium, APSURSI 2013
Country/TerritoryUnited States
CityOrlando, FL
Period7/7/137/13/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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