Matching Hierarchical Structures Using Association Graphs
IEEE Transactions on Pattern Analysis and Machine Intelligence
Replicator equations, maximal cliques, and graph isomorphism
Neural Computation
Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tree matching applied to vascular system
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
Hierarchical matching of anatomical trees for medical image registration
ICMB'08 Proceedings of the 1st international conference on Medical biometrics
Geometries on spaces of treelike shapes
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Improving diagnosis and intervention: a complete approach for registration of liver CT data
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Efficient globally optimal matching of anatomical trees of the liver
EG VCBM'10 Proceedings of the 2nd Eurographics conference on Visual Computing for Biology and Medicine
Hi-index | 0.00 |
Many medical applications require a registration of different images of the same organ. In many cases, such a registration is accomplished by manually placing landmarks in the images. In this paper we propose a method which is able to find reasonable landmarks automatically. To achieve this, nodes of the vessel systems, which have been extracted from the images by a segmentation algorithm, will be assigned by the so-called association graph method and the coordinates of these matched nodes can be used as landmarks for a non-rigid registration algorithm.