By Topic

Frequency-domain penalized least-squares beamformer design for early detection of breast cancer via microwave imaging

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Davis, S.K. ; Dept. of Electr. Eng., Wisconsin Univ., Madison, WI, USA ; Li, Xu ; Bond, Essex J. ; Hagness, S.C.
more authors

Microwave imaging has been proposed as an alternative to X-ray mammography for early-stage breast cancer detection. We investigate a method of microwave imaging via space-time (MIST) beamforming for detecting backscattered energy from small malignant breast tumors. The beamformer weights are designed to optimally compensate for frequency-dependent propagation effects and minimize clutter by solving a set of penalized least-squares problems that are formulated in the frequency domain. We demonstrate the efficacy of our space-time beamforming approach using backscatter data acquired from two types of breast phantoms: a realistic numerical breast model and a simple experimental breast phantom. The numerical model is derived from a magnetic resonance image of the breast and the backscatter waveforms are computed using the finite-difference time-domain method for solving Maxwell's equations. The experimental phantom consists of a synthetic tumor suspended in a homogeneous liquid. The dielectric-properties contrast between the liquid and synthetic tumor is similar to the contrast between normal and malignant breast tissue. Our images exhibit high signal-to-clutter ratios and good tumor localization even under various challenging conditions.

Published in:

Sensor Array and Multichannel Signal Processing Workshop Proceedings, 2002

Date of Conference:

4-6 Aug. 2002