System for the analysis and visualization of large 3D anatomical trees.
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.
Yu
Kun-Chang
KC
Department of Electrical Engineering, Penn State University, University Park, PA 16802, USA.
Ritman
Erik L
EL
Higgins
William E
WE
D000792:Angiography; D001808:Blood Vessels; D002319:Cardiovascular System / Q000000981:diagnostic imaging*; D006321:Heart / Q000000981:diagnostic imaging; D006801:Humans; D021621:Imaging, Three-Dimensional; D008099:Liver / Q000098:blood supply / Q000000981:diagnostic imaging; D008168:Lung / Q000098:blood supply / Q000000981:diagnostic imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014584:User-Computer Interface