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3D/3D registration of coronary CTA and biplane XA reconstructions for improved image guidance
Author(s) -
Dibildox Gerardo,
Baka Nora,
Punt Mark,
Aben JeanPaul,
Schultz Carl,
Niessen Wiro,
van Walsum Theo
Publication year - 2014
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.4892055
Subject(s) - biplane , mixture model , medicine , artificial intelligence , image registration , orientation (vector space) , computer vision , radiology , computer science , image (mathematics) , mathematics , geometry , engineering , aerospace engineering
Purpose: The authors aim to improve image guidance during percutaneous coronary interventions of chronic total occlusions (CTO) by providing information obtained from computed tomography angiography (CTA) to the cardiac interventionist. To this end, the authors investigate a method to register a 3D CTA model to biplane reconstructions.Methods: The authors developed a method for registering preoperative coronary CTA with intraoperative biplane x‐ray angiography (XA) images via 3D models of the coronary arteries. The models are extracted from the CTA and biplane XA images, and are temporally aligned based on CTA reconstruction phase and XA ECG signals. Rigid spatial alignment is achieved with a robust probabilistic point set registration approach using Gaussian mixture models (GMMs). This approach is extended by including orientation in the Gaussian mixtures and by weighting bifurcation points. The method is evaluated on retrospectively acquired coronary CTA datasets of 23 CTO patients for which biplane XA images are available.Results: The Gaussian mixture model approach achieved a median registration accuracy of 1.7 mm. The extended GMM approach including orientation was not significantly different ( P > 0.1) but did improve robustness with regards to the initialization of the 3D models.Conclusions: The authors demonstrated that the GMM approach can effectively be applied to register CTA to biplane XA images for the purpose of improving image guidance in percutaneous coronary interventions.