GPU-based focus-driven multi-coordinates viewing system for large volume data visualisation Online publication date: Mon, 30-Apr-2018
by Piyush Kumar; Anupam Agrawal
International Journal of Computational Systems Engineering (IJCSYSE), Vol. 4, No. 2/3, 2018
Abstract: In this paper, we are presenting a generalised contactless interactive graphics processing unit (GPU) accelerated compute unified device architecture (CUDA) based focus and context visualisation approach with displaying the inner anatomy of the large scale visible human male dataset in multi-coordinate viewing system (MCVS). The focusing area has been achieved by 3D Cartesian region of interest (ROI). The large dataset has been structured by using Octree method. The volume rendering part has been done by using an improved ray intersection cube method for voxels with the ray casting algorithm. The final results would allow the doctors to diagnose and analyse the atlas of 8-bit CT-scan data visualisation with efficient frame rates of rendering speed. The system is tested on ten multiple sized of 3D medical datasets ranging from 10 MB to 3.15 GB. The scope of this system is to explore of the human body for surgery purpose.
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