Feasibility study of lesion classification via contrast-agent-aided UWB breast imaging

Yifan Chen*, Ian James Craddock, Panagiotis Kosmas

*Corresponding author for this work

Research output: Contribution to journalLetter (Academic Journal)peer-review

45 Citations (Scopus)

Abstract

This letter investigates the feasibility of applying contrast agents for lesion classification in ultra wideband (UWB) breast imaging. Previous study has focused on distinguishing benign from malignant masses by exploiting their morphology-dependent backscatter signature via the complex natural resonances of the late-time target response. The tissue differentiation capability, however, deteriorates severely if the intrinsic contrast between the dielectric properties of dysplastic and normal tissues are small. A possible solution to this problem is proposed in this letter via the use of microwave contrast agents, where the damping factors of the differential backscatter responses before and after the infusion of contrast agents to a dysplastic inclusion are used to correlate with the anomaly shapes. The feasibility of this approach for lesion classification is demonstrated through comprehensive simulation studies using realistic numerical breast models.

Translated title of the contributionFeasibility study of lesion classification via contrast-agent-aided UWB breast imaging
Original languageEnglish
Pages (from-to)1003-1007
Number of pages5
JournalIEEE Transactions on Biomedical Engineering
Volume57
Issue number5
DOIs
Publication statusPublished - May 2010

Bibliographical note

Publisher: IEEE

Keywords

  • Breast cancer detection
  • contrast agents
  • lesion classification
  • lesion morphology
  • microwave imaging
  • CANCER DETECTION

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