Literature DB >> 22034317

Context preserving maps of tubular structures.

Joseph Marino1, Wei Zeng, Xianfeng Gu, Arie Kaufman.   

Abstract

When visualizing tubular 3D structures, external representations are often used for guidance and display, and such views in 2D can often contain occlusions. Virtual dissection methods have been proposed where the entire 3D structure can be mapped to the 2D plane, though these will lose context by straightening curved sections. We present a new method of creating maps of 3D tubular structures that yield a succinct view while preserving the overall geometric structure. Given a dominant view plane for the structure, its curve skeleton is first projected to a 2D skeleton. This 2D skeleton is adjusted to account for distortions in length, modified to remove intersections, and optimized to preserve the shape of the original 3D skeleton. Based on this shaped 2D skeleton, a boundary for the map of the object is obtained based on a slicing path through the structure and the radius around the skeleton. The sliced structure is conformally mapped to a rectangle and then deformed via harmonic mapping to match the boundary placement. This flattened map preserves the general geometric context of a 3D object in a 2D display, and rendering of this flattened map can be accomplished using volumetric ray casting. We have evaluated our method on real datasets of human colon models.
© 2011 IEEE

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Year:  2011        PMID: 22034317     DOI: 10.1109/TVCG.2011.182

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  Corresponding Supine and Prone Colon Visualization Using Eigenfunction Analysis and Fold Modeling.

Authors:  Saad Nadeem; Joseph Marino; Xianfeng Gu; Arie Kaufman
Journal:  IEEE Trans Vis Comput Graph       Date:  2017-01       Impact factor: 4.579

2.  LMap: Shape-Preserving Local Mappings for Biomedical Visualization.

Authors:  Saad Nadeem; Xianfeng Gu; Arie E Kaufman
Journal:  IEEE Trans Vis Comput Graph       Date:  2017-11-13       Impact factor: 4.579

  2 in total

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