Constrained Elastic Surface Nets: Generating Smooth Surfaces from Binary Segmented Data

This paper describes a method for creating object surfaces from binary-segmented data that are free from aliasing and terracing artifacts. In this method, a net of linked surface nodes is created over the surface of the binary object. The positions of the nodes are adjusted iteratively to reduce energy in the surface net while satisfying the constraint that each element in the surface net must remain within its original surface cube. This constraint ensures that ne detail such as cracks and thin protrusions that are present in the binary data are maintained. 1 Background Image data from 3D Magnetic Resonance Imaging (MRI) or Computed Tomography (CT) scanners can be used to create computer models of human anatomy for visualization and surgical simulation. Volumetric models, which are composed of 3D arrays of sampled values, are more suitable for visualization and physically-based modeling of complex objects than surface-based models because they incorporate internal structure 10]. In pa...

• Type: Conference
• Year: 1998
• Where: MICCAI
• Authors: Sarah F. Frisken Gibson
• Keywords: Medical Imaging, MICCAI 1998, Object Surfaces, Surface Net, Volumetric Models