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Accurate assessment of LV function using the first automated 2D-border detection algorithm for small animals - evaluation and application to models of LV dysfunction

Crossref DOI link: https://doi.org/10.1186/s12947-019-0156-0

Published Online: 2019-04-22

Published Print: 2019-12

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

Authors

Grune, Jana

Ritter, Daniel

Kräker, Kristin

Pappritz, Kathleen

Beyhoff, Niklas

Schütte, Till

Ott, Christiane

John, Cathleen

van Linthout, Sophie

Tschöpe, Carsten

Dechend, Ralf

Muller, Dominik N.

Haase, Nadine

Grune, Tilman

Kintscher, Ulrich

Kuebler, Wolfgang M.
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Article History

Received: 14 February 2019

Accepted: 26 March 2019

First Online: 22 April 2019

Ethics approval

: All animal procedures were performed in accordance with the guidelines of the German Law on the Protection of Animals and were approved by the local authorities (Landesamt für Gesundheit und Soziales, Berlin, Germany).

: Not applicable.

: The authors declare that they have no competing interests.

: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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