2393

Techniques for efficient, real-time, 3D visualization of multi-modality cardiac data using consumer graphics hardware

David Levin, Usaf Aladl, Guido Germano, Piotr Slomka
Department of Medical Biophysics, University of Western Ontario, London, Ontario, Canada
Computerized Medical Imaging and Graphics, Vol. 29, No. 6. (September 2005), pp. 463-475

@article{levin2005techniques,

   title={Techniques for efficient, real-time, 3D visualization of multi-modality cardiac data using consumer graphics hardware},

   author={Levin, D. and Aladl, U. and Germano, G. and Slomka, P.},

   journal={Computerized Medical Imaging and Graphics},

   volume={29},

   number={6},

   pages={463–475},

   issn={0895-6111},

   year={2005},

   publisher={Elsevier}

}

Source Source   

2110

views

We exploit consumer graphics hardware to perform real-time processing and visualization of high-resolution, 4D cardiac data. We have implemented real-time, realistic volume rendering, interactive 4D motion segmentation of cardiac data, visualization of multi-modality cardiac data and 3D display of multiple series cardiac MRI. We show that an ATI Radeon 9700 Pro can render a 512x512x128 cardiac Computed Tomography (CT) study at 0.9 to 60 frames per second (fps) depending on rendering parameters and that 4D motion based segmentation can be performed in real-time. We conclude that real-time rendering and processing of cardiac data can be implemented on consumer graphics cards.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Contact us: