Table of Contents
ISRN Biomedical Engineering
Volume 2013, Article ID 892967, 9 pages
http://dx.doi.org/10.1155/2013/892967
Research Article

High-Fidelity Visualization of Large Medical Datasets on Commodity Hardware

National Research Council of Italy, Institute for High Performance Computing and Networking (ICAR-CNR), Via Pietro Castellino 111, 80131 Naples, Italy

Received 19 March 2013; Accepted 9 June 2013

Academic Editors: M. Deng and D. Giansanti

Copyright © 2013 Luigi Gallo and Alessio Pierluigi Placitelli. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

This video shows an hybrid rendering method, aimed at providing medical-quality rendering of large medical datasets that do not fit into the graphics memory, in action. The hybrid approach takes advantage of the heterogeneity of the resources available on off-the-shelf computers: the large availability of system memory and the parallel-oriented architecture of modern GPUs. The CPU is used to render in high resolution a region-of-interest of the volume, whereas the GPU renders the context using a downsampled version of the dataset. The rendering method has been implemented as an extension of VTK, a widely used open source library, to promote its use and evolution.

  1. Supplementary Video