@inproceedings{243b0bd5cf7241a0a294cc4768aa7028,
title = "Intraoperative registration for liver tumor ablation",
abstract = "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.",
keywords = "graph matching, Intervention, liver, navigation, registration, segmentation, tumor ablation",
author = "{Oyarzun Laura}, Cristina and Klaus Drechsler and Marius Erdt and Matthias Keil and Matthias Noll and {De Beni}, Stefano and Georgios Sakas and Luigi Solbiati",
year = "2012",
doi = "10.1007/978-3-642-28557-8_17",
language = "English",
isbn = "9783642285561",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "133--140",
booktitle = "Abdominal Imaging",
note = "3rd International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 14th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2011 ; Conference date: 18-09-2011 Through 18-09-2011",
}