Building skeleton models via 3-D medial surface/axis thinning algorithms
CVGIP: Graphical Models and Image Processing
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Ultrasound and CT registration quality: elastography vs. classicaL B-mode
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Real-time visualized freehand 3D ultrasound reconstruction based on GPU
IEEE Transactions on Information Technology in Biomedicine
A novel multiscale integration approach for vessel enhancement
CBMS '10 Proceedings of the 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems
Fast automatic liver segmentation combining learned shape priors with observed shape deviation
CBMS '10 Proceedings of the 2010 IEEE 23rd International Symposium on Computer-Based Medical Systems
Graph to graph matching: Facing clinical challenges
CBMS '11 Proceedings of the 2011 24th International Symposium on Computer-Based Medical Systems
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Computer aided navigation augments intraoperatively gathered U/S with planning information that the doctor carries out before the intervention on a CT volume. A crucial step for the navigation is the registration between CT and U/S. Our approach consists on a landmark based registration. The correspondences between both modalities are found automatically using a graph to graph matching algorithm. Therefore, liver and vessels are previously segmented. The whole process has being tested on 15 pairs of real clinical data. The results are promising.