Across all biomedical imaging applications, there is a growing emphasis placed on reducing data acquisition and imaging times. This research explores the use of a technique, known as compressive sampling or compressed sensing (CS), as an efficient technique to minimise the data acquisition time for time critical microwave imaging (MWI) applications. Where a signal exhibits sparsity in the time domain, the proposed CS implementation allows for sub-sampling acquisition in the frequency domain and consequently shorter imaging times, albeit at the expense of a slight degradation in reconstruction quality of the signals as the compression increases. This Letter focuses on ultra wideband (UWB) radar MWI applications where reducing acquisition is of critical importance therefore a slight degradation in reconstruction quality may be acceptable. The analysis demonstrates the effectiveness and suitability of CS with UWB applications.
CITATION STYLE
Craven, D., O’Halloran, M., McGinley, B., Conceicao, R. C., Kilmartin, L., Jones, E., & Glavin, M. (2014). Compressive sampling for time critical microwave imaging applications. Healthcare Technology Letters, 1(1), 6–12. https://doi.org/10.1049/htl.2013.0043
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