JParc: Improved Brain Region Mapping
Published:Dec 27, 2025 06:04
•1 min read
•ArXiv
Analysis
This paper introduces JParc, a new method for automatically dividing the brain's surface into regions (parcellation). It's significant because accurate parcellation is crucial for brain research and clinical applications. JParc combines registration (aligning brain surfaces) and parcellation, achieving better results than existing methods. The paper highlights the importance of accurate registration and a learned atlas for improved performance, potentially leading to more reliable brain mapping studies and clinical applications.
Key Takeaways
- •JParc is a new method for cortical surface parcellation.
- •It combines registration and parcellation for improved accuracy.
- •It achieves state-of-the-art performance, particularly due to accurate registration and a learned atlas.
- •The method uses basic geometric features (sulcal depth, curvature).
- •Improved parcellation can benefit brain mapping studies and clinical applications.
Reference
“JParc achieves a Dice score greater than 90% on the Mindboggle dataset.”