A Fast, Semi-automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging

Abstract--Medical image segmentation has become an essential technique in clinical and research-oriented applications. Because manual segmentation methods are tedious, and fully automatic segmentation lacks the flexibility of human intervention or correction, semi-automatic methods have become the preferred type of medical image segmentation. We present a hybrid, semi-automatic segmentation method in 3D that integrates both region-based and boundary-based procedures. Our method differs from previous hybrid methods in that we perform region-based and boundary-based approaches separately, which allows for more efficient segmentation. A regionbased technique is used to generate an initial seed contour that roughly represents the boundary of a target brain structure, alleviating the local minima problem in the subsequent model deformation phase. The contour is deformed under a unique force equation independent of image edges. Experiments on MRI data show that this method can achieve high a...

• Type: Journal
• Year: 2009
• Where: BIBM
• Authors: Kevin Karsch, Qing He, Ye Duan
• Keywords: BIBM 2009, Bioinformatics, Manual Segmentation Methods, Medical Image Segmentation, Segmentation Method