Improved Reliability of Automated ASPECTS Evaluation Using Iterative Model Reconstruction from Head CT Scans.

Maximilian T Löffler Nico SollmannSebastian MönchBenjamin FriedrichClaus ZimmerThomas BaumChristian MaegerleinJan S Kirschke

Published in: Journal of neuroimaging : official journal of the American Society of Neuroimaging (2021)

Human and software rating showed good reliability of ASPECTS across different CT reconstructions. Human raters performed best with the reconstruction algorithms they had most experience with (HIR for the attending). Automated software benefits from higher resolution with better contrasts in IMR with 0.9 mm slice thickness.

Keyphrases

image quality
computed tomography
dual energy
endothelial cells
machine learning
deep learning
contrast enhanced
induced pluripotent stem cells
high throughput
pluripotent stem cells
magnetic resonance imaging
positron emission tomography
single molecule
magnetic resonance
data analysis
optic nerve