Name
Abstract | ||
|---|---|---|
Fiber tracking is a technique that, based on a diffusion tensor magnetic resonance imaging dataset, locates the fiber bundles in the human brain. Because it is a computationally expensive process, the interactivity of current fiber tracking tools is limited. We propose a new approach, which we termed real-time interactive fiber tracking, which aims at providing a rich and intuitive environment for the neuroradiologist. In this approach, fiber tracking is executed automatically every time the user acts upon the application. Particularly, when the volume of interest from which fiber trajectories are calculated is moved on the screen, fiber tracking is executed, even while it is being moved. We present our fiber tracking tool, which implements the real-time fiber tracking concept by using the video card's graphics processing units to execute the fiber tracking algorithm. Results show that real-time interactive fiber tracking is feasible on computers equipped with common, low-cost video cards. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/s10278-009-9266-9 | J. Digital Imaging |
Keywords | Field | DocType |
Fiber tracking,diffusion tensor imaging,graphics processing units,real-time applications | Graphics,Computer vision,Volume of interest,Interactivity,Fiber,Computer science,Video tracking,Artificial intelligence,Computer graphics | Journal |
Volume | Issue | ISSN |
24 | 2 | 1618-727X |
Citations | PageRank | References |
8 | 0.54 | 14 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adiel Mittmann | 1 | 22 | 2.32 |
| Tiago H C Nobrega | 2 | 9 | 0.91 |
| Eros Comunello | 3 | 66 | 15.04 |
| Juliano P O Pinto | 4 | 8 | 0.54 |
| Paulo R Dellani | 5 | 26 | 3.50 |
| Peter Stoeter | 6 | 74 | 10.09 |
| Aldo von Wangenheim | 7 | 209 | 49.44 |