NDLI: Feasibility study of tumor size classification via contrast-enhanced UWB breast imaging

Content Provider	IEEE Xplore Digital Library
Author	Ahmad, S.W. Chen, Y. Kosmas, P. Woo, W.L. Dlay, S.S.
Copyright Year	2011
Description	Author affiliation: School of Electrical, Electronic and Computer Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK (Ahmad, S.W.; Chen, Y.; Woo, W.L.; Dlay, S.S.) \|\| Division of Engineering, King's College London, London WC2R 2LS, UK (Kosmas, P.)
Abstract	Lesion classification using the tumor's backscatter signature can be very challenging in microwave breast imaging due to the small intrinsic contrast between the dielectric properties of dysplastic and normal tissues. A possible solution to this problem is to use microwave contrast agents such as microbubbles, where the differential breast response before and after the administration of the agent to a dysplastic inclusion is used to classify various anomaly properties (size, depth, morphology, etc.). In this paper, we study the feasibility of contrast-agent-aided imaging for lesion size classification by studying received signals in the complex domain. A finite-difference time-domain (FDTD) numerical phantom is employed to simulate electromagnetic (EM) wave propagation inside the breast and extract the reflected waveforms with and without microbubbles in the tumor site. The complex-domain transfer function of differential response is then used to draw the poles-zero plots (PZPs) and Bode plots (BPs), which demonstrate the viability of the proposed method for lesion size categorization.
Starting Page	1
Ending Page	4
File Size	701318
Page Count	4
File Format	PDF
ISBN	9781424451173
e-ISBN	9781424460519
DOI	10.1109/URSIGASS.2011.6051374
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-13
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Breast Microwave theory and techniques Dielectrics Lesions Microwave imaging
Content Type	Text
Resource Type	Article

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