| Monitoring of Muscle and Bone Recovery in Spinal Cord Injury Patients Treated With Electrical Stimulation Using Three-Dimensional Imaging and Segmentation Techniques: Methodological Assessment. | |
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MedLine Citation:
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PMID: 21401674 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Muscle tissue composition accounting for the relative content of muscle fibers and intramuscular adipose and loose fibrous tissues can be efficiently analyzed and quantified using images from spiral computed tomography (S-CT) technology and the associated distribution of Hounsfield unit (HU) values. Muscle density distribution, especially when including the whole muscle volume, provides remarkable information on the muscle condition. Different physiological and pathological scenarios can be depicted using the muscle characterization technique based on the HU values and the definition of appropriate intervals and the association of such intervals to different colors. Using this method atrophy, degeneration, and restoration in denervated muscle undergoing electrical stimulation treatments can be clearly displayed and monitored. Moreover, finite element methods are employed to calculate Young's modulus on the patella bone and to analyze correlation between muscle contraction and bone strength changes. The reliability of this tool though depends on S-CT assessment and calibration. To assess imaging quality and the use of HU values to display muscle composition, different S-CT devices are compared using a Quasar body scanner. Density distributions and volumes of various calibration elements such as lung, polyethylene, water equivalent, and trabecular and dense bone are measured with different scanning protocols and at different points of time. The results show that every scanned element undergoes HU variations, which are greater for materials at the extremes of the HU scale, such as dense bone and lung inhale. Moreover, S-CT scanning with low tube voltages (80 KV) produces inaccurate HU values especially in bones. In conclusion, 3-D modeling techniques based on S-CT scanning is a powerful follow-up tool that may provide structural information at the millimeter scale, and thus may drive choice and timing to validate rehabilitation protocols. |
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Authors:
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Paolo Gargiulo; Thordur Helgason; Páll Jens Reynisson; Benedikt Helgason; Helmut Kern; Winfried Mayr; Páll Ingvarsson; Ugo Carraro |
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Publication Detail:
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Type: JOURNAL ARTICLE |
Journal Detail:
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Title: Artificial organs Volume: 35 ISSN: 1525-1594 ISO Abbreviation: - Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-3-15 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7802778 Medline TA: Artif Organs Country: - |
Other Details:
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Languages: ENG Pagination: 275-281 Citation Subset: - |
Copyright Information:
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© 2011, Copyright the Authors. Artificial Organs © 2011, International Center for Artificial Organs and Transplantation and Wiley Periodicals, Inc. |
Affiliation:
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Department of Development and Consultancy UTS Department of Rehabilitation Medicine, Landspitali-University Hospital Department of Biomedical Engineering, University of Reykjavik, Reykjavik Keilir Institute of Technology, Keflavik, Iceland Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland Ludwig Boltzmann Institute of Electrostimulation and Physical Rehabilitation, Department of Physical Medicine, Wilhelminenspital Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria Laboratory of Translational Myology of the University of Padova, Interdepartmental Research Center of Myology, Department of Biomedical Sciences, Padova, Italy. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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