Global Minimum for Active Contour Models: A Minimal Path Approach
International Journal of Computer Vision
Minimal Paths in 3D Images and Application to Virtual Endoscopy
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
A Real-Time Algorithm for Medical Shape Recovery
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Artificial Intelligence in Medicine
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Hi-index | 0.00 |
Virtual colonoscopy is a minimally invasive technique allowing early detection of colorectal polyps. A path or centerline through the colon can be very useful to perform virtual endoscopy. Manual path tracking is a very time-consuming task and the resulting path depends a lot on the experience of the operator. This severely limits the applicability of the path-based visualization and inspection methods.An automatic path tracker for virtual endoscopy was introduced in [3], based on previous work on minimal path extraction ([1]). First, we briefly recall the theory of the automatic path tracker, detailing how we adapt this method for virtual colonoscopy. We show the speed and robustness of this automatic path tracker by means of a multi-user study where we measured the total user time and the difference in results between users on 29 clinical cases.