Title
Compact Modeling and Plausible Deformation of Human Lung Anatomy with Smooth Surfaces.
Abstract
We present a compact modeling of human lung anatomy (with lung lobes, bronchial trees, and pulmonary blood vessels), and demonstrate a plausible deformation (with collision detection and avoidance) for the whole anatomical structure. For this purpose, we employ a hybrid hierarchy of various bounding volumes (generated by moving spheres). Separation lists and parallel processing are also used for the acceleration of collision detection and avoidance, all implemented in CPUs only. Experimental results show that our modeling scheme compresses conventional lung models (often commercially available as meshes) by around 70 times lighter, and the resulting human lung deformation supports an interactive-speed performance, with frame rate of 10--20 fps.
Year
DOI
Venue
2016
10.1145/2915926.2915938
CASA
Field
DocType
Citations 
Anatomy,Collision detection,Polygon mesh,Computer science,SPHERES,Acceleration,Frame rate,Deformation (mechanics),Data compression,Bounding overwatch
Conference
0
PageRank 
References 
Authors
0.34
18
5
Name
Order
Citations
PageRank
Yunku Kang141.42
Jaesung Park212740.42
Jaewook Lee373550.24
Min-Sub Shim431.07
Myung-soo Kim5118292.56