Literature DB >> 28060254

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease.

Bruce M Damon1, Ke Li2, Richard D Dortch2, E Brian Welch2, Jane H Park3, Amanda K W Buck2, Theodore F Towse4, Mark D Does5, Daniel F Gochberg6, Nathan D Bryant2.   

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.

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Year:  2016        PMID: 28060254      PMCID: PMC5226425          DOI: 10.3791/52352

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  60 in total

1.  Extracting skeletal muscle fiber fields from noisy diffusion tensor data.

Authors:  David I W Levin; Benjamin Gilles; Burkhard Mädler; Dinesh K Pai
Journal:  Med Image Anal       Date:  2011-02-22       Impact factor: 8.545

2.  Fiber type characterization in skeletal muscle by diffusion tensor imaging.

Authors:  Michael Scheel; Philipp von Roth; Tobias Winkler; Adamantios Arampatzis; Torben Prokscha; Bernd Hamm; Gerd Diederichs
Journal:  NMR Biomed       Date:  2013-04-04       Impact factor: 4.044

3.  Acute effects of exercise on MR imaging of skeletal muscle in normal volunteers.

Authors:  J L Fleckenstein; R C Canby; R W Parkey; R M Peshock
Journal:  AJR Am J Roentgenol       Date:  1988-08       Impact factor: 3.959

4.  Removal of olefinic fat chemical shift artifact in diffusion MRI.

Authors:  D Hernando; D C Karampinos; K F King; J P Haldar; S Majumdar; J G Georgiadis; Z-P Liang
Journal:  Magn Reson Med       Date:  2010-12-08       Impact factor: 4.668

5.  Optimized inversion recovery sequences for quantitative T1 and magnetization transfer imaging.

Authors:  Ke Li; Zhongliang Zu; Junzhong Xu; Vaibhav A Janve; John C Gore; Mark D Does; Daniel F Gochberg
Journal:  Magn Reson Med       Date:  2010-08       Impact factor: 4.668

6.  Magnetic resonance imaging and P-31 magnetic resonance spectroscopy provide unique quantitative data useful in the longitudinal management of patients with dermatomyositis.

Authors:  J H Park; T L Vital; N M Ryder; M Hernanz-Schulman; C L Partain; R R Price; N J Olsen
Journal:  Arthritis Rheum       Date:  1994-05

7.  Longitudinal measurements of MRI-T2 in boys with Duchenne muscular dystrophy: effects of age and disease progression.

Authors:  R J Willcocks; I A Arpan; S C Forbes; D J Lott; C R Senesac; E Senesac; J Deol; W T Triplett; C Baligand; M J Daniels; H L Sweeney; G A Walter; K Vandenborne
Journal:  Neuromuscul Disord       Date:  2014-01-11       Impact factor: 4.296

8.  Fast bound pool fraction imaging of the in vivo rat brain: association with myelin content and validation in the C6 glioma model.

Authors:  Hunter R Underhill; Robert C Rostomily; Andrei M Mikheev; Chun Yuan; Vasily L Yarnykh
Journal:  Neuroimage       Date:  2010-10-26       Impact factor: 6.556

9.  Quantitative MRI and loss of free ambulation in Duchenne muscular dystrophy.

Authors:  Arne Fischmann; Patricia Hafner; Monika Gloor; Maurice Schmid; Andrea Klein; Urs Pohlman; Tanja Waltz; Rocio Gonzalez; Tanja Haas; Oliver Bieri; Dirk Fischer
Journal:  J Neurol       Date:  2012-11-09       Impact factor: 4.849

10.  Diffusion tensor MRI to assess damage in healthy and dystrophic skeletal muscle after lengthening contractions.

Authors:  Alan B McMillan; Da Shi; Stephen J P Pratt; Richard M Lovering
Journal:  J Biomed Biotechnol       Date:  2011-11-15
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  2 in total

1.  Platelet Derived Growth Factor-AA Correlates With Muscle Function Tests and Quantitative Muscle Magnetic Resonance in Dystrophinopathies.

Authors:  Alicia Alonso-Jiménez; Esther Fernández-Simón; Daniel Natera-de Benito; Carlos Ortez; Carme García; Elena Montiel; Izaskun Belmonte; Irene Pedrosa; Sonia Segovia; Patricia Piñol-Jurado; Ana Carrasco-Rozas; Xavier Suárez-Calvet; Cecilia Jimenez-Mallebrera; Andrés Nascimento; Jaume Llauger; Claudia Nuñez-Peralta; Paula Montesinos; Jorge Alonso-Pérez; Eduard Gallardo; Isabel Illa; Jordi Díaz-Manera
Journal:  Front Neurol       Date:  2021-06-11       Impact factor: 4.003

2.  Spin Lattice (T1) and Magnetization Transfer Saturation (MTsat) Imaging to Monitor Age-Related Differences in Skeletal Muscle Tissue.

Authors:  John Cameron White; Shantanu Sinha; Usha Sinha
Journal:  Diagnostics (Basel)       Date:  2022-02-24
  2 in total

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