Registration of pre-operative CT and non-contrast-enhanced c-arm CT: an application to trans-catheter aortic valve implantation (TAVI)

Authors:
Yongning Lu;Ying Sun;Rui Liao;Sim Heng Ong
Affiliations:
NUS Graduate School for Integrative Sciences and Engineering, Singapore,National University of Singapore, Singapore;National University of Singapore, Singapore;Corporate Research and Technology, Siemens Corporation;NUS Graduate School for Integrative Sciences and Engineering, Singapore,National University of Singapore, Singapore
Venue:
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Year:
2012

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Abstract

Trans-catheter Aortic Valve Implantation (TAVI) has proven to be an effective minimal-invasive alternative to traditional open-heart valve replacement surgery. Despite the success of contrast enhanced C-arm CT for intra-operative guidance during TAVI, utilization of pre-operative CT in the Hybrid Operating Room provides additional advantages of an improved workflow and minimized usage of contrast agent. In this paper, we propose a framework for CT/non-contrast-enhanced C-arm CT volume registration so that pre-operative CT can be used intra-operatively without additional contrast medium. The proposed method consists of two steps, rigid-body coarse alignment followed by deformable fine registration. Our contribution is twofold. First, robust heart center detection on both image modalities is used to boost the success rate of rigid-body registration. Second, a structural encoded similarity measure and anatomical correlation-regularized deformation fields are proposed to improve the performance of intensity-based deformable registration using the variational framework. Experiments were performed on ten sets of TAVI patient data, and the results have shown that the proposed method provides a highly robust and accurate registration. The resulting accuracy of 1.83 mm mean mesh-to-mesh error at the aortic root and the high efficiency of an average running time of 2 minutes on a common computer make it potentially feasible for clinical usage in TAVI. The proposed heart registration method is generic and hence can be easily applied to other cardiac applications.