A stochastic approach for automatic registration and fusion of left atrial electroanatomic maps with 3D CT anatomical images

Luca Faes, Maurizio Del Greco, Alessandro Cristoforetti, Luca Faes, Michela Masè, Flavia Ravelli, Giandomenico Nollo, Renzo Antolini, Maurizio Centonze

Risultato della ricerca: Articlepeer review

20 Citazioni (Scopus)

Abstract

The integration of electroanatomic maps with highly resolved computed tomography cardiac images plays an important role in the successful planning of the ablation procedure of arrhythmias. In this paper, we present and validate a fully-automated strategy for the registration and fusion of sparse, atrial endocardial electroanatomic maps (CARTO maps) with detailed left atrial (LA) anatomical reconstructions segmented from a pre-procedural MDCT scan. Registration is accomplished by a parameterized geometric transformation of the CARTO points and by a stochastic search of the best parameter set which minimizes the misalignment between transformed CARTO points and the LA surface. The subsequent fusion of electrophysiological information on the registered CT atrium is obtained through radial basis function interpolation. The algorithm is validated by simulation and by real data from 14 patients referred to CT imaging prior to the ablation procedure. Results are presented, which show the validity of the algorithmic scheme as well as the accuracy and reproducibility of the integration process. The obtained results encourage the application of the integration method in post-intervention ablation assessment and basic AF research and suggest the development for real-time applications in catheter guiding during ablation intervention. © 2007 IOP Publishing Ltd.
Lingua originaleEnglish
pagine (da-a)6323-6337
Numero di pagine15
RivistaPhysics in Medicine and Biology
Volume52
Stato di pubblicazionePublished - 2007

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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