Title: GPU-based focus-driven multi-coordinates viewing system for large volume data visualisation

Authors: Piyush Kumar; Anupam Agrawal

Addresses: Department of Information Technology, Indian Institute of Information Technology, Allahabad, India ' Department of Information Technology, Indian Institute of Information Technology, Allahabad, India

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.

Keywords: volume visualisation; focus-driven; multi-coordinate viewing system; MCVS; focus and context; MRI dataset.

DOI: 10.1504/IJCSYSE.2018.091387

International Journal of Computational Systems Engineering, 2018 Vol.4 No.2/3, pp.86 - 95

Received: 27 Oct 2016
Accepted: 26 Mar 2017
Published online: 30 Apr 2018 *

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