Feasibility study of tumor size classification via contrast-enhanced UWB breast imaging — A complex-domain analysis

Ahmad, S. W., Chen, Yuqing, Kosmas, P., Woo, Wai Lok and Dlay, Satnam (2011) Feasibility study of tumor size classification via contrast-enhanced UWB breast imaging — A complex-domain analysis. In: URSIGASS 2011 - 30th URSI General Assembly and Scientific Symposium, 13th - 20th August 2011, Istanbul, Turkey.

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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.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	B800 Medical Technology G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	13 May 2019 11:30
Last Modified:	10 Oct 2019 19:01
URI:	http://nrl.northumbria.ac.uk/id/eprint/39286

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