Impact of fully automated assessment on interstudy reproducibility of biventricular volumes and function in cardiac magnetic resonance imaging
Abstract Cardiovascular magnetic resonance (CMR) imaging provides reliable assessments of biventricular morphology and function. Since manual post-processing is time-consuming and prone to observer variability, efforts have been directed towards novel artificial intelligence-based fully automated an...
Main Authors: | Sören J. Backhaus, Andreas Schuster, Torben Lange, Christian Stehning, Marcus Billing, Joachim Lotz, Burkert Pieske, Gerd Hasenfuß, Sebastian Kelle, Johannes T. Kowallick |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-06-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-90702-9 |
Similar Items
-
Fully automated quantification of biventricular volumes and function in cardiovascular magnetic resonance: applicability to clinical routine settings
by: Sören J. Backhaus, et al.
Published: (2019-04-01) -
Cardiovascular magnetic resonance imaging feature tracking: Impact of training on observer performance and reproducibility.
by: Sören J Backhaus, et al.
Published: (2019-01-01) -
Inter-vendor reproducibility of left and right ventricular cardiovascular magnetic resonance myocardial feature-tracking.
by: Roman Johannes Gertz, et al.
Published: (2018-01-01) -
Correction: Inter-vendor reproducibility of left and right ventricular cardiovascular magnetic resonance myocardial feature-tracking.
by: Roman Johannes Gertz, et al.
Published: (2018-01-01) -
Cardiovascular magnetic resonance: interstudy reproducibility of measurements of left ventricular function in children
by: Barton Sheila, et al.
Published: (2011-02-01)