title: "True" color surface anatomy: mapping the Visible Human to patient-specific CT data.
abstract: The mapping of "true" color and texture information into traditional medical imaging modality data can add considerable information and aid in diagnostics. One of the goals of this work has been to create CT color lookup tables for all visually well-defined structures in the Visible Human male cryosection data set which then can be used to color patient-specific CT data. The primary goal has been to develop a method for stripping textures from a volumetric data set for polygonal models and non-uniform rational B-spline (NURBS) models generated from a volumetric data set. It is believed that these methods can eventually be used to provide clinicians with 3D models with physiologically accurate color textures.
authors.affiliation: Engineering Animation, Inc., 2321 North Loop Drive, 50010, Ames, IA, USA. john@eai.com
authors.forename: J P
authors.initials: JP
authors.lastname: Kerr
authors.forename: D
authors.initials: D
authors.lastname: Knapp
authors.forename: B
authors.initials: B
authors.lastname: Frake
authors.forename: M
authors.initials: M
authors.lastname: Sellberg
mesh_terms: D019412:Anatomy, Cross-Sectional; D003116:Color; D006801:Humans; D008297:Male; D011856:Radiographic Image Enhancement; D014057:Tomography, X-Ray Computed