Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Coherence-Enhancing Diffusion Filtering
International Journal of Computer Vision
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Reconstruction of 3D Catheter Paths from 2D X-Ray Projections
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
| Hi-index | 0.01 |
A method to extract and track the position of a guide wire during endovascular interventions under X-ray fluoroscopy is presented and evaluated. The method can be used to improve guide wire visualization in the low quality fluoroscopic images and to estimate the position of the guide wire in world coordinates. A two-step procedure is utilized to track the guide wire in subsequent frames. First a rough estimate of the displacement is obtained using a template matching procedure. Subsequently, the position of the guide wire is determined by fitting a spline to a feature image in which line-like structures are enhanced. In the optimization step, the influence of the scale at which the feature is calculated is investigated. Also, the feature image is calculated both on the original image and on a preprocessed image in which coherent structures are enhanced. Finally, the influence of explicit endpoint detection is studied. The method is evaluated on 267 frames from 10 sequences. Using the automatic method, the guide wire could be tracked in 96% of the frames, with a greater accuracy than three observers. Endpoint detection improved the accuracy of the tip assessment, which was better than 1.3 mm.