Adaptive Metamorphs Model for 3D Medical Image Segmentation

Abstract. In this paper, we introduce an adaptive model-based segmentation framework, in which edge and region information are integrated and used adaptively while a solid model deforms toward object boundary. Our 3D segmentation method stems from Metamorphs deformable models [1]. The main novelty of our work is in that, instead of performing segmentation in an entire 3D volume, we propose model-based segmentation in an adaptively changing subvolume of interest. The subvolume is determined based on appearance statistics of the evolving object model, and within the subvolume, more accurate and object-specific edge and region information can be obtained. This local and adaptive scheme for computing edges and object region information makes our segmentation solution more efficient and more robust to image noise, artifacts and intensity inhomogeneity. External forces for model deformation are derived in a variational framework that consists of both edge-based and region-based energy terms,...

• Type: Conference
• Year: 2007
• Where: MICCAI
• Authors: Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas, Leon Axel
• Keywords: Adaptive Model-based Segmentation, Medical Imaging, MICCAI 2007, Segmentation Method, Segmentation Solution