RBF-Based Representation of Volumetric Data: Application in Visualization and Segmentation

A new scheme of data-driven segmentation is proposed, which is based on detection of object boundary, and volumetric pattern reconstruction as implicit function by using the detected object boundary and the radial basis functions (RBF). By using clinical X-ray CT data, applications in visualization of the pancreatic duct by MINIP of curved thin-slab and in liver segmentation are shown.

• Type: Conference
• Year: 2002
• Where: MICCAI
• Authors: Yoshitaka Masutani
• Keywords: Data-driven Segmentation, Medical Imaging, MICCAI 2002, Object Boundary, Volumetric Pattern Reconstruction