Abstract：
:The interaction of electromagnetic fields with the human body is quantified by the dielectric properties of biological tissues. These properties are incorporated into complex numerical simulations using parametric models such as Debye and Cole-Cole, for the computational investigation of electromagnetic wave propagation within the body. These parameters can be acquired through a variety of optimisation algorithms to achieve an accurate fit to measured data sets. A number of different optimisation techniques have been proposed, but these are often limited by the requirement for initial value estimations or by the large overall error (often up to several percentage points). In this work, a novel two-stage genetic algorithm proposed by the authors is applied to optimise the multi-pole Debye parameters for 54 types of human tissues. The performance of the two-stage genetic algorithm has been examined through a comparison with five other existing algorithms. The experimental results demonstrate that the two-stage genetic algorithm produces an accurate fit to a range of experimental data and efficiently out-performs all other optimisation algorithms under consideration. Accurate values of the three-pole Debye models for 54 types of human tissues, over 500 MHz to 20 GHz, are also presented for reference.
journal_name
Med Eng Physjournal_title
Medical engineering & physicsauthors
Salahuddin S,Porter E,Krewer F,O' Halloran Mdoi
10.1016/j.medengphy.2017.01.017subject
Has Abstractpub_date
2017-05-01 00:00:00pages
103-111eissn
1350-4533issn
1873-4030pii
S1350-4533(17)30019-Xjournal_volume
43pub_type
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