Coronary Lumen Segmentation Using Graph Cuts and Robust Kernel Regression
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
IEEE Transactions on Image Processing
Monocular deformable model-to-image registration of vascular structures
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
Nonrigid registration and template matching for coronary motion modeling from 4D CTA
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
Conditional shape models for cardiac motion estimation
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Coronary motion estimation from CTA using probability atlas and diffeomorphic registration
MIAR'10 Proceedings of the 5th international conference on Medical imaging and augmented reality
Non-rigid multi-modal registration of coronary arteries using SIFTflow
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Alignment of 4d coronary CTA with monoplane x-ray angiography
AE-CAI'11 Proceedings of the 6th international conference on Augmented Environments for Computer-Assisted Interventions
A fast lesion registration to assist coronary heart disease diagnosis in CTA images
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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We present an approach to derive patient specific coronary models from ECG-gated CTA data and their application for the alignment of CTA with mono-plane X-ray imaging during interventional cardiology. A 4D (3D+t) deformation model of the coronary arteries is derived by (i) extraction of a 3D coronary model at an appropriate cardiac phase and (ii) non-rigid registration of the CTA images at different ECG phases to obtain a deformation model. The resulting 4D coronary model is aligned with the X-ray data using a novel 2D+t/3D+t registration approach. Model consistency and accuracy is evaluated using manually annotated coronary centerlines at systole and diastole as reference. Improvement of registration robustness by using the 2D+t/3D+t registration is successfully demonstrated by comparison of the actual X-ray cardiac phase with the automatically determined best matching phase in the 4D coronary model.