Publications by authors named "Laurens Beljaards"
Article Synopsis
- MRI acquisition is prone to motion artifacts, which can cause significant scanning issues like blurring and ghosting, often requiring rescans.
- Recent developments in AI-based reconstruction techniques aim to enhance MRI efficiency but typically assume no patient movement.
- A new deep learning model was created to detect and quantify motion artifacts in brain MRI, achieving high accuracy rates in distinguishing between motion-corrupted and motion-free scans, and allowing adjustments in reconstruction methods based on detected motion.
