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Quantitative Computed Tomography and image analysis for advanced muscle assessment

Quantitative Computed Tomography and image analysis for advanced muscle assessment


Titill: Quantitative Computed Tomography and image analysis for advanced muscle assessment
Höfundur: Árnadottir, Íris Dröfn
Piccione, Francesco
Gargiulo, Paolo
Edmunds, Kyle   orcid.org/0000-0002-6591-4116
Gíslason, Magnús
Marcante, Andrea   orcid.org/0000-0002-0869-6175
Útgáfa: 2016
Tungumál: Enska
Umfang: 93-100
Háskóli/Stofnun: Háskólinn í Reykjavík
Reykjavik University
Svið: Tækni- og verkfræðideild (HR)
School of Science and Engineering (RU)
Deild: Institute of Biomedical and Neural Engineering (RU
Birtist í: European Journal of Translational Myology;26(2)
ISSN: 2037-7452
2037-7460 (eISSN)
DOI: 10.4081/ejtm.2016.6015
Efnisorð: Quantitative computed tomography; Image analysis; Advanced muscle assessment; Sneiðmyndatökur; Myndgreining (læknisfræði); Vöðvar
URI: https://hdl.handle.net/20.500.11815/920

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Tilvitnun:

Edmunds, K. J., Gislason, M. K., Arnadottir, I. D., Marcante, A., Piccione, F., & Gargiulo, P. (2016). Quantitative Computed Tomography and image analysis for advanced muscle assessment. European Journal of Translational Myology, 26(2), 93–100

Útdráttur:

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.

Leyfi:

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License (CC BY-NC 4.0) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

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