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Magnetic Resonance Imaging of the Skeletal Musculature

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Cover of 'Magnetic Resonance Imaging of the Skeletal Musculature'

Table of Contents

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    Book Overview
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    Chapter 846 Imaging of Skeletal Muscle in Neuromuscular Disease: A Clinical Perspective
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    Chapter 847 MR Spectroscopy and Spectroscopic Imaging for Evaluation of Skeletal Muscle Metabolism: Basics and Applications in Metabolic Diseases
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    Chapter 848 MRI in Muscle Dystrophies and Primary Myopathies
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    Chapter 849 MRI in Muscle Tumors and Tumors of Fasciae and Tendon Sheaths
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    Chapter 860 MRI in Inflammatory Myopathies and Autoimmune-Mediated Myositis
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    Chapter 873 Whole-Body MRI for Evaluation of the Entire Muscular System
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    Chapter 878 MRI of Muscle Injuries
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    Chapter 911 Assessment of Skeletal Muscle Microperfusion Using MRI
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    Chapter 922 MRI in Muscle Channelopathies
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    Chapter 923 Skeletal Muscle MR Imaging Beyond Protons: With a Focus on Sodium MRI in Musculoskeletal Applications
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    Chapter 924 Correlation of Skeletal Muscle Anatomy to MRI and US Findings
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    Chapter 925 Imaging the Skeletal Muscle: When to Use MR imaging and When to Use Ultrasound
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    Chapter 927 Dynamic MR Imaging of the Skeletal Musculature: From Static Measures to a Dynamic Assessment of the Muscular (Loco-) Motion
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    Chapter 928 MRI of Muscle Denervation in Central and Peripheral Nervous System Disorders
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    Chapter 932 Diffusion-Weighted and Diffusion Tensor Imaging: Applications in Skeletal Muscles
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Title
Magnetic Resonance Imaging of the Skeletal Musculature
Published by
Springer Berlin Heidelberg, December 2013
DOI 10.1007/978-3-642-37219-3
ISBNs
978-3-64-237218-6, 978-3-64-237219-3
Editors

Weber, Marc-André

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Researcher 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Medicine and Dentistry 2 67%
Engineering 1 33%