Real-Time Photo-Realistic Rendering for Surgical Simulations with Graphics Hardware

Author(s):  
Mohamed A. ElHelw ◽  
Benny P. Lo ◽  
Ara Darzi ◽  
Guang-Zhong Yang
Author(s):  
Suvranu De ◽  
Yi-Je Lim

The requirement of real time performance, crucial to multimodal surgical simulations, imposes severe demands in terms of computational efficiency. A physics-based meshfree computational technique known as the Point-Associated Finite Field (PAFF) approach has been developed to circumvent many outstanding problems associated with traditional mesh-based computational schemes and has been applied in this paper to the modeling of geometrically nonlinear tissue deformations. The technique is based on a novel combination of multiresolution approach coupled with a fast reanalysis scheme in which the response predicted by an underlying linear PAFF model is enhanced in the local neighborhood of the surgical tool-tip by a nonlinear model. We present performance comparisons of PAFF with traditional finite element models.


2003 ◽  
Vol 22 (2) ◽  
pp. 207-216 ◽  
Author(s):  
Ruigang Yang ◽  
Greg Welch ◽  
Gary Bishop

2016 ◽  
Vol 34 (3) ◽  
pp. 337-346 ◽  
Author(s):  
Daniel Valente de Macedo ◽  
Maria Andréia Formico Rodrigues

2009 ◽  
Vol 2009 ◽  
pp. 1-7 ◽  
Author(s):  
Hanli Zhao ◽  
Xiaogang Jin ◽  
Jianbing Shen ◽  
Shufang Lu

Mouse picking is the most commonly used intuitive operation to interact with 3D scenes in a variety of 3D graphics applications. High performance for such operation is necessary in order to provide users with fast responses. This paper proposes a fast and reliable mouse picking algorithm using graphics hardware for 3D triangular scenes. Our approach uses a multi-layer rendering algorithm to perform the picking operation in linear time complexity. The objectspace based ray-triangle intersection test is implemented in a highly parallelized geometry shader. After applying the hardware-supported occlusion queries, only a small number of objects (or sub-objects) are rendered in subsequent layers, which accelerates the picking efficiency. Experimental results demonstrate the high performance of our novel approach. Due to its simplicity, our algorithm can be easily integrated into existing real-time rendering systems.


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