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

Crossref DOI link: https://doi.org/10.1186/s41747-018-0065-2

Published Online: 2018-11-07

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Baum, Thomas http://orcid.org/0000-0002-4574-5212
Lorenz, Cristian

Buerger, Christian

Freitag, Friedemann

Dieckmeyer, Michael

Eggers, Holger

Zimmer, Claus

Karampinos, Dimitrios C.

Kirschke, Jan S.
Funding

Funding for this research was provided by:

H2020 European Research Council (No 677661, No 637164)

Philips

Technische Universitaet Muenchen (KKF grant H01)
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Text and Data Mining valid from 2018-11-07
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Article History

Received: 13 June 2018

Accepted: 6 August 2018

First Online: 7 November 2018

Ethics approval and consent to participate

: The study was approved by the local institutional committee for human research and in accordance with the 1964 Helsinki declaration and its later amendments. All individuals gave written informed consent before participation in the study.

: Consent for publication was included in the consent to participate (see above).

: Cristian Lorenz, Christian Buerger and Holger Eggers are employees of Philips Healthcare. The remaining authors declare no competing interests.

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