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Quantitative Computed Tomography and image analysis for advanced muscle assessment

Kyle Joseph Edmunds, Magnus K. Gíslason, Iris D. Arnadottir, Andrea Marcante, Francesco Piccione, Paolo Gargiulo
  • Kyle Joseph Edmunds
    Institute for Biomedical and Neural Engineering, Háskólinn í Reykjavík, Reykjavík, Iceland
  • Magnus K. Gíslason
    Institute for Biomedical and Neural Engineering, Háskólinn í Reykjavík, Reykjavík, Iceland
  • Iris D. Arnadottir
    Institute for Biomedical and Neural Engineering, Háskólinn í Reykjavík, Reykjavík, Iceland
  • Andrea Marcante
    IRCCS Fondazione Ospedale San Camillo, Venezia, Italy
  • Francesco Piccione
    IRCCS Fondazione Ospedale San Camillo, Venezia, Italy
  • Paolo Gargiulo
    Institute for Biomedical and Neural Engineering, Háskólinn í Reykjavík, Reykjavík; Landspítali, Reykjavík, Iceland | paologar@landspitali.is

Abstract

Medical imaging is of particular interest in the field of translational myology, as extant literature describes the utilization of a wide variety of techniques to non-invasively recapitulate and quantity various internal and external tissue morphologies. In the clinical context, medical imaging remains a vital tool for diagnostics and investigative assessment. This review outlines the results from several investigations on the use of computed tomography (CT) and image analysis techniques to assess muscle conditions and degenerative process due to aging or pathological conditions. Herein, we detail the acquisition of spiral CT images and the use of advanced image analysis tools to characterize muscles in 2D and 3D. Results from these studies recapitulate changes in tissue composition within muscles, as visualized by the association of tissue types to specified Hounsfield Unit (HU) values for fat, loose connective tissue or atrophic muscle, and normal muscle, including fascia and tendon. We show how results from these analyses can be presented as both average HU values and compositions with respect to total muscle volumes, demonstrating the reliability of these tools to monitor, assess and characterize muscle degeneration.

Keywords

Quantitative Computed Tomography; Image analysis; Advanced muscle assessment; FES

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Submitted: 2016-05-23 12:49:25
Published: 2016-06-22 11:31:31
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Copyright (c) 2016 Kyle Joseph Edmunds, Magnus K. Gíslason, Iris D. Arnadottir, Andrea Marcante, Francesco Piccione, Paolo Gargiulo

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