Topology-aware multiclass segmentation of the Circle of Willis from MRA and CTA images

Key Points

• Effective multiclass segmentation achieves high accuracy in identifying the Circle of Willis structure, enhancing image interpretation.
• The method utilizes both MRA and CTA images to improve visualization of vascular structures relevant for clinical assessment.
• Assessment employs a topology-aware approach to ensure accurate delineation of complex anatomical features within the Circle of Willis.
• Results suggest that improved segmentation techniques may aid in better diagnosis and treatment planning for vascular conditions.