Adaptive and Robust Techniques (ART) for thermoacoustic tomography in breast cancer detection

Yao Xie, Bin Guo, Jian Li, Geng Ku, Lihong Wang

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

1 Scopus citations

Abstract

We present Adaptive and Robust Techniques (ART) for thermoacoustic tomography with application in breast cancer detection. TAT combines high contrast and high resolution. The current image reconstruction methods used for TAT, such as the widely used Delay-and-Sum (DAS) approach, are data-independent and suffer from low resolution, high sidelobe levels, and poor interference rejection capabilities. The dataadaptive ART have much better performance than their dataindependent counterparts. By allowing certain uncertainties, ART can mitigate the amplitude and phase distortion problems encountered in TAT. The excellent performance of ART is demonstrated using both simulated and experimentally measured data.

Original languageEnglish (US)
Title of host publicationConference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages831-835
Number of pages5
DOIs
StatePublished - 2006
Event40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 - Pacific Grove, CA, United States
Duration: Oct 29 2006Nov 1 2006

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
Country/TerritoryUnited States
CityPacific Grove, CA
Period10/29/0611/1/06

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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