Name
Abstract | ||
|---|---|---|
We present a novel method to create planar visualizations of treelike structures (e.g., blood vessels and airway trees) where the shape of the object is well preserved, allowing for easy recognition by users familiar with the structures. Based on the extracted skeleton within the treelike object, a radial planar embedding is first obtained such that there are no self-intersections of the skeleton which would have resulted in occlusions in the final view. An optimization procedure which adjusts the angular positions of the skeleton nodes is then used to reconstruct the shape as closely as possible to the original, according to a specified view plane, which thus preserves the global geometric context of the object. Using this shape recovered embedded skeleton, the object surface is then flattened to the plane without occlusions using harmonic mapping. The boundary of the mesh is adjusted during the flattening step to account for regions where the mesh is stretched over concavities. This parameterized surface can then be used either as a map for guidance during endoluminal navigation or directly for interrogation and decision making. Depth cues are provided with a grayscale border to aid in shape understanding. Examples are presented using bronchial trees, cranial and lower limb blood vessels, and upper aorta datasets, and the results are evaluated quantitatively and with a user study. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TVCG.2015.2467413 | Visualization and Computer Graphics, IEEE Transactions |
Keywords | Field | DocType |
blood vessels,cardiovascular system,data visualisation,image thinning,lung,medical computing,shape recognition,trees (mathematics),airway trees,bronchial trees,cranial blood vessels,decision making,depth cue,endoluminal navigation,grayscale border,harmonic mapping,lower limb blood vessels,mesh boundary,mesh stretching,object global geometric context preservation,object shape,object surface flattening,occlusions,optimization procedure,planar visualization,radial planar embedding,shape reconstruction,shape recovered embedded skeleton,shape understanding,skeleton extraction,skeleton node angular position,surface parameterization,treelike object,treelike structure,upper aorta dataset,Geometry-based techniques,medical visualization,planar embedding,view-dependent visualization | Computer vision,Parameterized complexity,Flattening,Visualization,Computer science,Planar,Artificial intelligence,Depth perception,Skeleton (computer programming),Computer graphics,Grayscale | Journal |
Volume | Issue | ISSN |
22 | 1 | 1077-2626 |
Citations | PageRank | References |
9 | 0.47 | 39 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joseph Marino | 1 | 70 | 11.35 |
| Arie Kaufman | 2 | 4154 | 453.50 |