@inproceedings{4b2bd7cf8a7c404a96bab91e9cfbacda,
title = "A fast lesion registration to assist coronary heart disease diagnosis in CTA images",
abstract = "This work introduces a 3D+t coronary registration strategy to minimize the navigation among cardiac phases during the process of ischaemic heart disease diagnosis. We propose to register image sub-volumes containing suspected arterial lesions at two cardiac phases, instead of performing a registration of the complete cardiac volume through the whole cardiac cycle. The method first automatically defines the extent of the sub-volumes to be aligned, then the registration is performed in two steps: a coarse rigid alignment and a deformable registration. Our method provides comparable results and is computationally less expensive than previous approaches that make use of larger spatial and temporal information.",
author = "Zuluaga, {Maria A.} and {Hern{\'a}ndez Hoyos}, Marcela and D{\'a}vila, {Julio C.} and Uriza, {Luis F.} and MacIej Orkisz",
year = "2012",
doi = "10.1007/978-3-642-33564-8_85",
language = "English",
isbn = "9783642335631",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "710--717",
booktitle = "Computer Vision and Graphics - International Conference, ICCVG 2012, Proceedings",
address = "Germany",
note = "International Conference on Computer Vision and Graphics, ICCVG 2012 ; Conference date: 24-09-2012 Through 26-09-2012",
}