Planar Visualization of Treelike Structures

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...

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Vydáno v:	IEEE transactions on visualization and computer graphics Ročník 22; číslo 1; s. 906 - 915
Hlavní autoři:	Marino, Joseph, Kaufman, Arie
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.01.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Angular position Aorta Aorta - anatomy & histology Blood vessels Bronchi - anatomy & histology Computer Graphics Context Decision making Embedding Geometry-based techniques Humans Imaging, Three-Dimensional - methods Interrogation Intersections Layout Mapping medical visualization Object recognition Pattern Recognition, Automated - methods planar embedding Shape Shape recognition Skeleton Three-dimensional displays Trees view-dependent visualization Visible Human Projects Visualization planar embedding medical visualization view-dependent visualization Geometry-based techniques
ISSN:	1077-2626, 1941-0506, 1941-0506
On-line přístup:	Získat plný text
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Popis
Shrnutí:	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.
Bibliografie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	1077-2626 1941-0506 1941-0506
DOI:	10.1109/TVCG.2015.2467413