Paper Info
Title
Registration of pre-operative CT and non-contrast-enhanced c-arm CT: an application to trans-catheter aortic valve implantation (TAVI)
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.
Year
DOI
Venue
2012
10.1007/978-3-642-37444-9_21
ACCV
Keywords
Field
DocType
pre-operative ct,c-arm ct,aortic valve implantation,proposed heart registration method,intensity-based deformable registration,non-contrast-enhanced c-arm ct volume,non-contrast-enhanced c-arm,rigid-body registration,deformable fine registration,accurate registration,tavi patient data
Biomedical engineering,Computer vision,Catheter,Similarity measure,Computer science,Hybrid operating room,Aortic valve,Artificial intelligence,Contrast medium,Valve replacement,Image registration
Conference
Citations 
PageRank 
References 
2
0.37
13
Authors
4
Name
Order
Citations
PageRank
Yongning Lu142.10
Ying Sun222419.86
Rui Liao339037.55
Sim Heng Ong442644.63