Atri-U

Atri-U performs assisted image analysis of cardiovascular magnetic resonance (CMR) long-axis cine images to enable accurate and efficient left atrial volumetry.

Key Features:

• Automated Data Analysis Pipeline: Processes long-axis cardiac cine images to detect the end-systolic frame, segment left atrial endocardial borders, localize mitral annular hinge points, and construct longitudinal atrial diameters.
• Human-centric interaction: Incorporates human review at each step, allowing acceptance or correction of automated results.
• Training and validation: Trained and evaluated on a retrospective sample of 300 patients and applied to a consecutive clinical sample of 150 patients with various heart conditions.
• Accuracy and precision: Shows an average overestimation of 0.8 mL/m² for indexed left atrial volume with limits of agreement at -7.5 and 5.8 mL/m², and expert acceptability rates of 97% for end-systolic frame detection, 94% for endocardial border outlines, and 95% for mitral hinge point localization.
• Time efficiency: Reduces per-study reading time by approximately 66%, from a mean of 105 seconds to 34 seconds in clinical settings.

Scientific Applications:

• Left atrial volume estimation: Provides automated and reviewable measurements of left atrial volume from CMR long-axis cine images for clinical and research use.
• CMR volumetry workflow streamlining: Enables faster throughput of routine CMR volumetry while maintaining measurement accuracy and precision.

Methodology:

Processes long-axis cardiac cine images to detect end-systolic frames, outline left atrial endocardial borders, localize mitral annular hinge points, and compute longitudinal atrial diameters.