Topology-aware illumination design for volume rendering

BMC Bioinformatics

Research Article

Fang Chen¹  Xiuying Wang²  Dagan Feng²  Hui Cui²  Peng Gong²  Chun Xiao³  Xianglin Miao⁴  Jianlong Zhou⁵  Yalin Miao⁶ 

[1] DATA61, CSIRO, 13 Garden Street, 2015, Eveleigh, NSW, Australia;The University of Sydney, 1 Cleveland Street, 2008, Darlington, NSW, Australia;Xiangtan University, 411105, Xiangtan, Hunan, People’s Republic of China;Xi’an Jiaotong University City College, 8715 Shangji Road, Xi’an, Shaanxi 710018, People’s Republic of China;Xi’an Jiaotong University City College, 8715 Shangji Road, Xi’an, Shaanxi 710018, People’s Republic of China;DATA61, CSIRO, 13 Garden Street, 2015, Eveleigh, NSW, Australia;Xi’an University of Technology, 5 Jinhua Nan Road, 710048, Xi’an, Shaanxi, People’s Republic of China;

关键词: Volume rendering;    Topology;    Automatic illumination design;    Distance;    Saliency;    Perception;   

DOI  :  10.1186/s12859-016-1177-4

 received in 2016-04-13, accepted in 2016-08-11,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundDirect volume rendering is one of flexible and effective approaches to inspect large volumetric data such as medical and biological images. In conventional volume rendering, it is often time consuming to set up a meaningful illumination environment. Moreover, conventional illumination approaches usually assign same values of variables of an illumination model to different structures manually and thus neglect the important illumination variations due to structure differences.ResultsWe introduce a novel illumination design paradigm for volume rendering on the basis of topology to automate illumination parameter definitions meaningfully. The topological features are extracted from the contour tree of an input volumetric data. The automation of illumination design is achieved based on four aspects of attenuation, distance, saliency, and contrast perception. To better distinguish structures and maximize illuminance perception differences of structures, a two-phase topology-aware illuminance perception contrast model is proposed based on the psychological concept of Just-Noticeable-Difference.ConclusionsThe proposed approach allows meaningful and efficient automatic generations of illumination in volume rendering. Our results showed that our approach is more effective in depth and shape depiction, as well as providing higher perceptual differences between structures.

【 授权许可】

CC BY   
© The Author(s). 2016

【 图 表 】

Fig. 3