Study and application on accelerated algorithm of ray-casting

Xiaoping Sun; Jian Wu; Zhiming Cui; Jianlin Ma

doi:10.1117/12.751079

14 November 2007 Study and application on accelerated algorithm of ray-casting

Xiaoping Sun, Jian Wu, Zhiming Cui, Jianlin Ma

Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67891E (2007) https://doi.org/10.1117/12.751079
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Medical image 3D reconstruct is an important application filed for volume rendering, for it special using, it required fast interactive speed and high image quality. The ray casting algorithm (RCA) is a widely used basic volume rendering algorithm. It can get high quality image but the rendering speed is very slowly for powerful computing capacity. Due to these shortcomings and deficiencies, the accelerated ray casting algorithm is presented in this paper to improve its rendering speed and apply it to medical image 3D reconstruct. Firstly, accelerate algorithms for ray casting are fully studied and compared. Secondly, improved tri-linear interpolation technology has been selected and extended to continuous ray casting in order to reduce matrix computation by matrix transformation characteristics of re-sampling points. Then ray interval casting technology is used to reduce the number of rays. Utilizing volume data sets cropping technology that improving boundary box technique avoids the sampling in empty voxel. Finally, the synthesized accelerate algorithm has been proposed. The result shown that compare with standard ray casting algorithm, the accelerate algorithm not only improve the rendering speed but also produce the required quality images.

Citation Download Citation

Xiaoping Sun, Jian Wu, Zhiming Cui, and Jianlin Ma "Study and application on accelerated algorithm of ray-casting", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891E (14 November 2007); https://doi.org/10.1117/12.751079

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KEYWORDS

Image quality

Reconstruction algorithms

Volume rendering

3D image processing

Medical imaging

3D image reconstruction

Data modeling

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