Towards cardiac and respiratory motion characterization from electrophysiology data for improved real time MR-integration

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Towards cardiac and respiratory motion characterization from electrophysiology data for improved real time MR-integration

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Title: Towards cardiac and respiratory motion characterization from electrophysiology data for improved real time MR-integration
Author: Roujol, Sebastien; Tan, Alexandre Korarithi; Anter, Elad; Josephson, Mark; Nezafat, Reza

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Citation: Roujol, Sébastien, Alex Y Tan, Elad Anter, Mark E Josephson, and Reza Nezafat. 2013. Towards cardiac and respiratory motion characterization from electrophysiology data for improved real time mr-integration. Journal of Cardiovascular Magnetic Resonance 15(Suppl 1): P68.
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Abstract: Electro-anatomical voltage mapping (EAM) is an invasive technique used for the identification of ventricular tachycardia (VT) substrate and subsequent guidance of VT ablation [1]. The mapping of VT substrate is very time consuming procedure, requires highly skilled electrophysiologist, is associated with patient risk and is an invasive procedure. Late gadolinium enhancement (LGE) MRI allows non-invasive evaluation of 3D structure of scar. Therefore, LGE has the potential to identify the VT substrate and can now be integrated in the current clinical platform for guidance of VT ablation as a roadmap. However, fusion of the two imaging modality is very challenging due to respiratory and cardiac motion during the mapping which results in large errors in data fusion. Our aim in this study is to develop a novel algorithm to detect the respiratory and cardiac-induced motion of the mapping catheter during the VT ablation to facilitate integration of LGE MRI to EAM data.
Published Version: doi:10.1186/1532-429X-15-S1-P68
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560001/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11180363
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