Automated assessment of paraspinal muscle fat composition based on the segmentation of chemical shift encoding-based water/fat-separated images

Automated assessment of paraspinal muscle fat composition based on the segmentation of chemical shift encoding-based water/fat-separated images

Abstract Proton-density fat fraction (PDFF) of the paraspinal muscles, derived from chemical shift encoding-based water-fat magnetic resonance imaging, has emerged as an important surrogate biomarker in individuals with intervertebral disc disease, osteoporosis, sarcopenia and neuromuscular disorder...

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Bibliographic Details
Main Authors: Thomas Baum, Cristian Lorenz, Christian Buerger, Friedemann Freitag, Michael Dieckmeyer, Holger Eggers, Claus Zimmer, Dimitrios C. Karampinos, Jan S. Kirschke
Format: Article
Language:English
Published: SpringerOpen 2018-11-01
Series:European Radiology Experimental
Subjects:
Biomarkers
Magnetic resonance imaging
Paraspinal muscles
Proton-density fat fraction
Sarcopenia
Online Access:http://link.springer.com/article/10.1186/s41747-018-0065-2

Internet

http://link.springer.com/article/10.1186/s41747-018-0065-2

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