Quality Check for Chest

During chest scans, the AI-empowered quality check monitors the patient's breath-hold status. If the patient fails to hold the breath as required, the system triggers real-time prompts, which helps technologists efficiently confirm chest image quality and reduce patient recalls.

Pre-scan: AI-based Automatic Patient Positioning

Based on uAI Vision's detection of 21 anatomical landmarks, the uCT Orion Extra can automatically identify the appropriate scan range based on the selected protocol. The technologist only needs a single click to position the patient for the scout scan, improving preparation efficiency.

Patient head movement typically involves multiple motion patterns, which makes it challenging to obtain large datasets of head motion artifacts for training deep learning algorithms. To construct the training dataset, the Motion Freeze algorithm generates simulated artifacts on gold-standard images along the X, Y, and Z axes, encompassing rotation, translation, oscillation, and mixed motion patterns. By introducing diverse motion artifacts, this approach enables the trained network model to handle a broad spectrum of motion conditions.