Integration of electro-anatomical and imaging data of the left ventricle: An evaluation framework
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- 作者：David Soto-Iglesias ; a ; david.soto@upf.edu" class="auth_mail" title="E-mail the corresponding author ; Constantine Butakoffa ; constantine.butakoff@upf.edu" class="auth_mail" title="E-mail the corresponding author ; David Andreub ; dandreu@clinic.ub.es" class="auth_mail" title="E-mail the corresponding author ; Juan Ferná ; ndez-Armentab ; juanf_ap@yahoo.es" class="auth_mail" title="E-mail the corresponding author ; Antonio Berruezob ; berruezo@clinic.ub.es" class="auth_mail" title="E-mail the corresponding author ; Oscar Camaraa ; oscar.camara@upf.edu" class="auth_mail" title="E-mail the corresponding author
- 关键词：Quasi-conformal mapping ; Electro-anatomical mapping ; MRI ; Cardiac arrythmias
- 刊名：Medical Image Analysis
- 出版年：2016
- 出版时间：August 2016
- 年：2016
- 卷：32
- 期：Complete
- 页码：131-144
- 全文大小：4136 K
文摘
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Development of a Quasi-Conformal Mapping (QCM) technique to define a common reference system for visualizing and jointly analyzing electro-anatomical and de-MRI data.
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Multimodal integration without complex registration algorithms.
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Evaluation of different mapping techniques for multimodal integration.
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The QCM technique reduces integration errors by a factor of 50% with respect to state-of-the-art techniques over 128 synthetic data.
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The QCM technique consistently outperforms other integration methods when applied to clinical data, achieving a more precise ablation points and scar localization.