High-Performance and Real-Time Volume Rendering in CUDA

In order to improve the image quality and rendering speed, how to deal with a large scale of voxel computation is a challenge for programmers who work at medical image visualization. CUDA is a parallel programming model and software environment designed to overcome this challenge while maintaining a...

Full description

Saved in:
Bibliographic Details
Published in2009 2nd International Conference on Biomedical Engineering and Informatics pp. 1 - 4
Main Authors Yue Zhao, Xiaoyu Cui, Ying Cheng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Biomedical imaging
Image quality
Large-scale systems
Parallel programming
Programming profession
Rendering (computer graphics)
Software design
Software maintenance
Software performance
Visualization
Online AccessGet full text
ISBN9781424441327
1424441323
ISSN1948-2914
DOI10.1109/BMEI.2009.5304981

Cover

More Information
Summary:In order to improve the image quality and rendering speed, how to deal with a large scale of voxel computation is a challenge for programmers who work at medical image visualization. CUDA is a parallel programming model and software environment designed to overcome this challenge while maintaining a low learning curve for programmers familiar with standard programming languages such as C. In this paper, we propose an optimization algorithm of volume ray casting using CUDA; compare the performance to previous implementation in old version of GPU. The experiments show that our method can achieve a high image quality and rendering speed.
ISBN:9781424441327
1424441323
ISSN:1948-2914
DOI:10.1109/BMEI.2009.5304981