@inproceedings{e32ac505a44849328e8ea0fe1b28c365,
title = "Closing the gap: From planning to intervention in cardiology",
abstract = "It is likely that in the near future the diagnostic of coronary arteries will be done using non-invasive computed tomography angiography and that only the intervention, if necessary, will be carried out using invasive techniques. Pre-interventional gathered CTA data can be used to carry out an automated quantitative analysis of the arteries, which can provide complementary information during a cardiac catheterization when only coronary angiograms are available. We propose an anatomical landmark-based rigid 3D/2D registration algorithm which enables the fusion of both modalities. It has to solve for six transformation parameters (three rotation and three translation parameters). An exhaustive search in a six dimensional search space is usually computationally very expensive and algorithms using optimization strategies can get lost in local minima. We propose a method based on centroids to reduce search space from six to four dimensions and use information stored in modern C-Arm devices to further reduce the search space. With our method registration errors of < 2 mm are feasible. Execution times of < 1 sec. can be reached on a QuadCore CPU.",
keywords = "3D/2D registration, Cardiology, Catheterization, Dimension reduction, Exhaustive search, Search space reduction",
author = "Klaus Drechsler and Laura, {Cristina Oyarzun}",
year = "2011",
doi = "10.1007/978-3-642-25382-9_13",
language = "English",
isbn = "9783642253812",
series = "Communications in Computer and Information Science",
pages = "187--200",
booktitle = "Computer Vision, Imaging and Computer Graphics",
note = "International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2010 ; Conference date: 17-05-2010 Through 21-05-2012",
}