Deep Learning Informed by Contrast-enhanced MRI Allows for Precise Segmentation of the Choroid Plexus in Non-contrast Data

Key Points

• The aim is to enhance the segmentation of the choroid plexus in MRI data using deep learning techniques.
• Utilized deep learning segmentation algorithms
• Applied contrast-enhanced (CE) and non-contrast (NC) MRI datasets
• Analyzed the performance of the algorithm in delineating the choroid plexus
• The algorithm successfully segmented the choroid plexus in both CE and NC MRI datasets
• Enhanced segmentation may provide better insights into brain physiological and pathological processes
• Showed improvements over traditional segmentation methods