Geometrical modeling of abdominal aortic aneurysms
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
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
IEEE Transactions on Information Technology in Biomedicine
Machine Graphics & Vision International Journal
Coronary vein tracking from MSCT using a minimum cost path approach
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
3D coronary structure tracking algorithm with regularization and multiple hypotheses in MRI
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
FIMH'05 Proceedings of the Third international conference on Functional Imaging and Modeling of the Heart
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A new generation of sub-second multi-slices computed tomography (MSCT) scanners, which allow a complete coronary coverage, is becoming widely available. Nevertheless, they need to be associated with 3D processing tools to quantify the coronary diseases. This study proposes to evaluate a new 3D moment-based method for the extraction of the coronary network and the calcification localization in MSCT. We called on two medical experts respectively in coronarography and radiology to carry out this evaluation. It was based on a comparison between extracted vessels and original scan data with objective and subjective criteria. This preliminary study has been performed on a set of six data sets, which included pathological patterns such as dense and scattered calcifications. These results confirm the good performances of the method with high scores of sensitivity and constitute a first step toward the detection of coronary networks in MSCT data.