Automated MRI-Based Segmentation of the Cranio-Cervical Venous System Using a Dedicated Deep Learning Pipeline

PURPOSE To develop an automated magnetic resonance imaging based segmentation pipeline for the cranio-cervical venous system (CCVS), a complex anatomical network for which no dedicated segmentation tool is currently available. MATERIALS AND METHODS A retrospective single-center cohort of 194 contrast-enhanced cranio-cervical MRI examinations acquired between 2019 and 2024 was used. Manual reference segmentations were performed on 50 examinations using 3D Slicer. A nnU-Net v2-based segmentation model was trained through an iterative process combining automatic segmentation, manual correction, a

This content is for informational purposes only and is not medical advice. It is not intended to diagnose, treat, cure, or prevent any disease. Consult a healthcare professional before starting any supplement, treatment, or program: especially if you are pregnant, nursing, taking medication, or managing a health condition.