These significant features of MWI not only offer the possibility of an appropriate and safe imaging modality for repeated medical applications, but also allow for the construction of relevant devices for use at small medical centres for both monitoring and detection of a variety of cardiovascular diseases. It is capable of fulfilling several essential requirements such as being fast, portable (in consequence of the dimensions of the devices) and non-ionising in nature, and needing reduced intensity to achieve imaging (with the intensity similar to that applied in cellular phones). The Microwave Imaging (MWI) procedure is based on the scattering of electromagnetic waves.
Several imaging techniques are regularly employed in the process of brain stroke diagnosis, notably magnetic resonance imaging (MRI) and computed tomography (CT). Moreover, the quantification of artefact removal procedures through measurements using MWI device is performed. An “ideal/reference” image is used to compare the artefact removal methods. To provide a valid comparison between these methods, image quantification metrics are presented. The different artifact removal methods have been proposed for comparison to improve the stroke detection process. Detection has been successfully achieved using the superimposition of five transmitter triplet positions, after applying different artefact removal methods, with the inclusion positioned at 0 °, 90 °, 180 °, and 270 °. A simple two-layered phantom mimicking human head tissue is realised, applying a cylindrically shaped inclusion to emulate brain haemorrhage. The MWI device measures the scattered signals in a multi-bistatic fashion and employs an imaging procedure based on Huygens principle. In this paper, we present an investigation of different artefact removal methods for ultra-wideband Microwave Imaging (MWI) to evaluate and quantify current methods in a real environment through measurements using an MWI device.
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