Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction

Abstract. Important attributes of 3D brain segmentation algorithms include robustness, accuracy, computational efficiency, and facilitation of user interaction, yet few algorithms incorporate all of these traits. Manual segmentation is highly accurate but tedious and laborious. Most automatic techniques, while less demanding on the user, are much less accurate. It would be useful to employ a fast automatic segmentation procedure to do most of the work but still allow an expert user to interactively guide the segmentation to ensure an accurate final result. We propose a novel 3D brain cortex segmentation procedure utilizing dualfront active contours, which minimize image-based energies in a manner that yields more global minimizers compared to standard active contours. The resulting scheme is not only more robust but much faster and allows the user to guide the final segmentation through simple mouse clicks which add extra seed points. Due to the global nature of the evolution model, ...

• Type: Conference
• Year: 2005
• Where: CVBIA
• Authors: Hua Li, Anthony J. Yezzi, Laurent D. Cohen
• Keywords: Automatic Segmentation Procedure, Brain Segmentation Algorithms, Computer Vision, CVBIA 2005, Segmentation Procedure