An MRI/CT-based cardiac electroanatomical mapping system with scattered data interpolation algorithm

Authors:
Gang Gao;Phani Chinchapatnam;Matthew Wright;Aruna Arujuna;Matthew Ginks;Aldo Rinaldi;Kawai Rhode
Affiliations:
Centre for Medical Image Computing, University College London, London and King's College London, London;Centre for Medical Image Computing, University College London, London and King's College London, London;King's College London, London;King's College London, London;King's College London, London;Department of Cardiology, Guy's & St. Thomas' Hospitals NHS Foundation Trust, London;King's College London, London
Venue:
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Year:
2010

Citing 1
Cited 1

Automatic whole heart segmentation in static magnetic resonance image volumes

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention

Image and physiological data fusion for guidance and modelling of cardiac resynchronization therapy procedures

STACOM'10/CESC'10 Proceedings of the First international conference on Statistical atlases and computational models of the heart, and international conference on Cardiac electrophysiological simulation challenge

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper we are proposing an MRI/CT -guided cardiac electroanatomical mapping system, EpreMap. EpreMap was developed as an extension to the guidance system developed at King's College London for cardiac electrophysiology procedures. This platform allows for both the registration of MRIlCT anatomical data to X-ray fluoroscopy and the determination of the catheter positions. EpreMap is a contact mapping system. By using a radial basis function (RBF) based scattered data interpolation algorithm, EpreMap can create a cardiac activation map for a whole chamber starting from five sampling points. The activation map is updated with every new measurement. Offline studies showed that cardiac activation maps created by using EpreMap were highly correlated with the maps created by using a non-contact mapping system. EpreMap was used in three clinical cases. The clinical studies proved the workflow of EpreMap was valid in the clinical environment. For one clinical case, the result of EpreMap was validated against a non-contact mapping system. Clinically significant regions identified by using the two mapping systems were strongly correlated.