2014
Oriented Gaussian mixture models for nonrigid 2D/3D coronary artery registration
Publication
Publication
IEEE Transactions on Medical Imaging , Volume 33 - Issue 5 p. 1023- 1034
2D/3D registration of patient vasculature from preinterventional computed tomography angiography (CTA) to interventional X-ray angiography is of interest to improve guidance in percutaneous coronary interventions. In this paper we present a novel feature based 2D/3D registration framework, that is based on probabilistic point correspondences, and show its usefulness on aligning 3D coronary artery centerlines derived from CTA images with their 2D projection derived from interventional X-ray angiography. The registration framework is an extension of the Gaussian mixture model (GMM) based point-set registration to the 2D/3D setting, with a modified distance metric. We also propose a way to incorporate orientation in the registration, and show its added value for artery registration on patient datasets as well as in simulation experiments. The oriented GMM registration achieved a median accuracy of 1.06 mm, with a convergence rate of 81% for nonrigid vessel centerline registration on 12 patient datasets, using a statistical shape model. The method thereby outperformed the iterative closest point algorithm, the GMM registration without orientation, and two recently published methods on 2D/3D coronary artery registration.
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doi.org/10.1109/TMI.2014.2300117, hdl.handle.net/1765/63935 | |
IEEE Transactions on Medical Imaging | |
Organisation | Department of Cardiology |
Baka, N., Metz, C., Schultz, C., van Geuns, R. J., Niessen, W., & van Walsum, T. (2014). Oriented Gaussian mixture models for nonrigid 2D/3D coronary artery registration. IEEE Transactions on Medical Imaging, 33(5), 1023–1034. doi:10.1109/TMI.2014.2300117 |