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Fully Automatic Left Atrial Strain Quantification via Multi-task Learning on Cardiac Cine MRI
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DOI：10.1016/j.jocmr.2026.102777.png)
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Abstract
En 中文
Cardiac magnetic resonance feature tracking (CMR-FT) of left atrial (LA) strain is hindered by thin-wall contouring errors, motion heterogeneity, and temporal drift, while manual or landmark-based methods lack reproducibility and scalability.
Keywords:
bSSFP
balanced steady-state free precession
CMR-FT
cardiac magnetic resonance feature tracking
ED
end-diastolic
ES
end-systolic
ICC
intraclass correlation coefficient
LA
left atrial
LD
late-diastolic
LoA
limits of agreement
LV
left ventricular
ROI
region of interest
Cardiovascular magnetic resonance
Feature tracking
Multi-task learning
Left atrial strain
Journal
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6.1
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2.3K
Citations:
6.9K
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