Table of Contents
ISRN Biomedical Engineering
Volume 2013, Article ID 892967, 9 pages
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.


Recent advances in CT and MRI static and dynamic scanning techniques have led to great improvements in the resolution and size of volumetric medical datasets, and this trend is still ongoing. However, the explosion of dataset size prevents clinicians from taking advantage of an interactive, high-resolution exploration of volumetric medical data on commodity hardware, due to the memory constraints of modern graphics cards. This paper presents a hybrid CPU-GPU volume ray-casting method and some hybrid-based inspection tools aimed at providing interactive, medical-quality visualization using an ordinary desktop PC. Experimental results show that the hybrid method provides a near-interactive high-fidelity visualization of large medical datasets even if only limited hardware resources are available.