Balancing Speed and Accuracy in Cardiac Magnetic Resonance Function Post-Processing: Comparing 2 Levels of Automation in 3 Vendors to Manual Assessment

• Published in: Diagnostics (Basel) Vol. 11; no. 10; p. 1758
• Main Authors: Snel, Gert J.H., Poort, Sharon, Velthuis, Birgitta K., van Deursen, Vincent M., Nguyen, Christopher T., Sosnovik, David, Dierckx, Rudi A.J.O., Slart, Riemer H.J.A., Borra, Ronald J.H., Prakken, Niek H.J.
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 24.09.2021; MDPI
• Subjects: Accuracy; Artificial intelligence; Automation; cardiac function; cardiac magnetic resonance; Datasets; Reproducibility; Software packages; standardization; Statistical analysis; tracing protocol; Germany
• ISSN: 2075-4418; 2075-4418
• DOI: 10.3390/diagnostics11101758

Automating cardiac function assessment on cardiac magnetic resonance short-axis cines is faster and more reproducible than manual contour-tracing; however, accurately tracing basal contours remains challenging. Three automated post-processing software packages (Level 1) were compared to manual asses...