Real-time correction of respiratory-induced cardiac motion during electroanatomical mapping procedures

R. van Es*, F. J. van Slochteren, S. J. Jansen Of Lorkeers, R. Blankena, P. A. Doevendans, S. A J Chamuleau

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Treatment planning during catheter interventions in the heart is often based on electromechanical tissue characteristics obtained by endocardial surface mapping (ESM). Since studies have shown respiratory-induced cardiac motion of over 5 mm in different directions, respiratory motion may cause ESMs artifacts due to faulty interpolation. Hence, we designed and tested a real-time respiration-correction algorithm for ESM. An experimental phantom was used to design the correction algorithm which was subsequently evaluated in five pigs. A piezo-respiratory belt transducer was used to measure the respiration. The respiratory signal was inserted to the NOGA®XP electromechanical mapping system via the ECG leads. The results of the correction were assessed by measuring the displacement of a reference point and the registration error of the ESM on a CMR scan before and after correction. In the phantom experiment, the reference point displacement was 6.5 mm before and 1.1 mm after correction and the registration errors were 2.8 ± 2.2 and 1.9 ± 1.3 mm, respectively. In the animals, the average reference point displacement (apex) was reduced from 2.6 ± 1.0 mm before to 1.2 ± 0.3 mm after correction (P <0.05). The in vivo registration error of the ESM and the CMR scan did not significantly improve. Even though the apical movement appreciated in pigs is small, the correction algorithm shows a decrease in displacement after correction. Application of this algorithm omits the use of the time-consuming respiratory gating during ESM and may lead to less respiratory artifacts in clinical endocardial mapping procedures.

Original languageEnglish
Pages (from-to)1741-1749
Number of pages9
JournalMedical & Biological Engineering & Computing
Volume54
Issue number11
DOIs
Publication statusPublished - Nov 2016

Keywords

  • Cardiac imaging
  • CMR
  • Electroanatomical mapping
  • Respiratory-induced cardiac motion

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