Name
Abstract | ||
|---|---|---|
We propose a Markov Random Field formulation for the tracking of needles in fluoroscopic images. A novel motion model makes it possible to capture the primarily rigid motion as well as deformations of the needle in a single second-order MRF graph. Needles are represented by B-splines and each control point is associated with a random variable in a MAP-MRF formulation. In addition to the control points we introduce a single additional random variable representing the rigid transformation needles undergo during interventions. The incorporation of rigid transformations allows to recover transformations even in the presence of large displacements which is not possible with existing MRF models for medical tool tracking. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ISBI.2010.5490099 | Rotterdam |
Keywords | Field | DocType |
Markov processes,diagnostic radiography,image motion analysis,medical image processing,optical tracking,splines (mathematics),B-splines,MAP-MRF formulation,Markov random field formulation,deformations,fluoroscopic images,higher-order MRF optimization,medical tool tracking,needle tracking,primarily rigid motion,rigid transformation,second-order MRF graph,Discrete Optimization,Markov Random Fields,Navigation,Optical tracking,X-ray chest imaging | Spline (mathematics),Computer vision,Random variable,Control point,Markov process,Discrete optimization,Medical imaging,Markov random field,Computer science,Rigid transformation,Artificial intelligence | Conference |
ISSN | ISBN | Citations |
1945-7928 E-ISBN : 978-1-4244-4126-6 | 978-1-4244-4126-6 | 0 |
PageRank | References | Authors |
0.34 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hauke Heibel | 1 | 55 | 4.51 |
| Glocker, B. | 2 | 0 | 0.34 |
| Nikos Paragios | 3 | 0 | 0.68 |
| Nassir Navab | 4 | 6594 | 578.60 |