System for the analysis and visualization of large 3D anatomical trees

Authors:
Kun-Chang Yu;Erik L. Ritman;William E. Higgins
Affiliations:
Department of Electrical Engineering, Penn State University, University Park, PA 16802, USA;Department of Physiology and Biophysics, Mayo Foundation, Rochester, MN 55905, USA;Department of Electrical Engineering, Penn State University, University Park, PA 16802, USA
Venue:
Computers in Biology and Medicine
Year:
2007

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Abstract

Modern micro-CT and multi-detector helical CT scanners can produce high-resolution 3D digital images of various anatomical trees. The large size and complexity of these trees make it essentially impossible to define them interactively. Automatic approaches have been proposed for a few specific problems, but none of these approaches guarantee extracting geometrically accurate multi-generational tree structures. This paper proposes an interactive system for defining and visualizing large anatomical trees and for subsequent quantitative data mining. The system consists of a large number of tools for automatic image analysis, semi-automatic and interactive tree editing, and an assortment of visualization tools. Results are presented for a variety of 3D high-resolution images.