Off-pump beating heart surgery requires a guidance system that would show both pertinent cardiac anatomy and dynamic motion both peri- and intra-operatively. Optimally, the guidance system should show high quality images and models in a cost-effective way and can be easily integrated into standard clinical workflow. However, such a goal is difficult to accomplish by a single image modality. In this paper we introduce a method of generating a synthetic 4D cardiac CT dataset using a single (static) CT, along with 4D ultrasound images. These synthetic images can be combined with intra-operative ultrasound during the surgery to provide an intuitive and effective augmented virtuality guidance system. The generation method obtains patient specific cardiac motion information by performing non-rigid registrations between pre-operative 4D ultrasound images and applies the deformation to a static CT image to deform it into a series of dynamic CT images. Validations was performed by comparing the synthetic CT images to real dynamic CT images. © 2013 Springer-Verlag.
CITATION STYLE
Li, F. P., Rajchl, M., White, J. A., Goela, A., & Peters, T. M. (2013). Generation of synthetic 4D cardiac CT images for guidance of minimally invasive beating heart interventions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7915 LNCS, pp. 11–20). https://doi.org/10.1007/978-3-642-38568-1_2
Mendeley helps you to discover research relevant for your work.