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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease.
Damon, Bruce M; Li, Ke; Dortch, Richard D; Welch, E Brian; Park, Jane H; Buck, Amanda K W; Towse, Theodore F; Does, Mark D; Gochberg, Daniel F; Bryant, Nathan D.
Affiliation
  • Damon BM; Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University; Department of Biomedical Engineering, Vanderbilt University; Department of Molecular Physiology and Biophysics, Vanderbilt University; bruce.damon@vanderbilt.edu.
  • Li K; Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University.
  • Dortch RD; Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University.
  • Welch EB; Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University.
  • Park JH; Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University; Department of Molecular Physiology and Biophysics, Vanderbilt University.
  • Buck AK; Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University.
  • Towse TF; Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University; Department of Physical Medicine and Rehabilitation, Vanderbilt University.
  • Does MD; Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University; Department of Biomedical Engineering, Vanderbilt University.
  • Gochberg DF; Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University; Department of Physics and Astronomy, Vanderbilt University.
  • Bryant ND; Institute of Imaging Science, Vanderbilt University; Department of Radiology and Radiological Sciences, Vanderbilt University.
J Vis Exp ; (118)2016 12 18.
Article de En | MEDLINE | ID: mdl-28060254
ABSTRACT
Quantitative magnetic resonance imaging (qMRI) describes the development and use of MRI to quantify physical, chemical, and/or biological properties of living systems. Neuromuscular diseases often exhibit a temporally varying, spatially heterogeneous, and multi-faceted pathology. The goal of this protocol is to characterize this pathology using qMRI methods. The MRI acquisition protocol begins with localizer images (used to locate the position of the body and tissue of interest within the MRI system), quality control measurements of relevant magnetic field distributions, and structural imaging for general anatomical characterization. The qMRI portion of the protocol includes measurements of the longitudinal and transverse relaxation time constants (T1 and T2, respectively). Also acquired are diffusion-tensor MRI data, in which water diffusivity is measured and used to infer pathological processes such as edema. Quantitative magnetization transfer imaging is used to characterize the relative tissue content of macromolecular and free water protons. Lastly, fat-water MRI methods are used to characterize fibro-adipose tissue replacement of muscle. In addition to describing the data acquisition and analysis procedures, this paper also discusses the potential problems associated with these methods, the analysis and interpretation of the data, MRI safety, and strategies for artifact reduction and protocol optimization.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Imagerie par résonance magnétique / Muscles squelettiques / Maladies musculaires Limites: Humans Langue: En Journal: J Vis Exp Année: 2016 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Imagerie par résonance magnétique / Muscles squelettiques / Maladies musculaires Limites: Humans Langue: En Journal: J Vis Exp Année: 2016 Type de document: Article