Open AccessQuantitative imaging of numerically realistic human head model using microwave tomography
Author(s) -
Jalilvand M.,
Wu Chuanren,
Schmid J.,
Zwick T.
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2013.4078
Subject(s) - microwave imaging , iterative reconstruction , solver , human head , iterative method , nonlinear system , a priori and a posteriori , algorithm , tomography , head (geology) , imaging phantom , microwave , computer science , finite element method , mathematics , mathematical optimization , physics , optics , artificial intelligence , telecommunications , geomorphology , geology , philosophy , epistemology , quantum mechanics , thermodynamics
Microwave tomography (MWT) is exploited for the detection of haemorrhagic stroke by using a nonlinear iterative imaging algorithm. An anatomically realistic two‐dimensional (2D) head model is simulated using a finite difference time‐domain numerical solver. By using an iterative optimisation algorithm based on the Gauss–Newton approach, the head model with an artificially embedded stroke region modelled as blood is successfully reconstructed through a blind reconstruction procedure (i.e. no a priori information about the shape or the dielectric properties of the model is assumed). It is observed that beginning from a homogeneous guess similar to the background material, right after the first iteration the shapes of the layers are clearly distinguished and the values of the dielectric properties converge to the actual values after only 10 iterations.