Microwave Head Imaging for Stroke Detection

Abstract

Abstract-This paper proposes an algorithm for wide-band microwave imaging for the detection of a hemorrhagic stroke. A realistic head phantom and finite-difference time-domain program are used to estimate back-scattered signals which are subsequently used in the image reconstruction process. The proposed imaging approach can lead to a portable and cost effective system; particularly suitable for rural medical clinics that lack the necessary resources in effective stroke diagnosing.

PCA-based artifact removal algorithm for stroke detection using UWB radar imaging

“…So far, some feasibility studies and proof of concepts on the use of MWI for stroke detection have been reported [6,8,12,13,18,23]. A relevant work has been done at Chalmers University [6,12,18], where clinical trials are ongoing.…”

“…In this paper, we focus on the second challenge. Most of the works on UWB radar for stroke detection consider a monostatic system and the delay-and-sum (DAS) algorithm [8,13], which was originally proposed for breast cancer detection [11]. The DAS algorithm has the attracting feature of having low computational complexity but it offers limited robustness to artifacts.…”

An Investigation Into Electromagnetic Based Impedance Tomography Using Realistic Human Head Model

“…An appropriate image reconstruction method is selected based on the particular application. The most frequently used non-linear inversion methods include; Contrast Source Inversion (CSI), GaussNewton Inversion (GNI), Confocal Delay-and-Sum Algorithm and Born Iterative Method (BIM) [8,17,20,28,31,38].…”

“…The data was collected using 32 evenly spaced transmitters in a multi-static radar approach at 1 GHz frequency. In 2011 Ireland and Bialkowski [17], proposed an image reconstruction algorithm based on common background reflections cancellation, confocal delayand-sum approach and Fermat's principle. Its efficacy was tested using a Gaussian pulse (0.5-2.0 GHz at 20 dB SNR), Zubal head phantom and the 2-D finite-difference-time-domain (FDTD) method.…”

“…The model has been effectively utilized in several studies conducted by different researchers [7,[17][18][19][20][21].…”