Compressive sampling for time critical microwave imaging applications. Issue 1 (16th June 2014)

• Record Type: Journal Article
• Authors: Craven, Darren; O'Halloran, Martin; McGinley, Brian; Conceicao, Raquel C.; Kilmartin, Liam; Jones, Edward; Glavin, Martin
• Is Part Of: Healthcare technology letters. Volume 1:Issue 1(2014)
• Page Start: 6
• Page End: 12
• Publication Date: 2014-06-16
• Subjects: compressed sensing -- microwave imaging -- biomedical imaging -- data acquisition; reconstruction quality -- subsampling acquisition -- compressed sensing -- imaging time -- data acquisition time -- biomedical imaging -- time critical microwave imaging -- compressive sampling; Biomedical engineering -- Periodicals; Medical technology -- Periodicals; 610.28
• DOI: 10.1049/htl.2013.0043
• Languages: English
• ISSNs: 2053-3713

Abstract

Abstract : 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.