Incorporating a Gaussian model at the catheter tip for improved registration of preoperative surface models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Atrial fibrillation is a common cardiac arrhythmia in which aberrant electrical activity cause the atria to quiver which results in irregular beating of the heart. Catheter ablation therapy is becoming increasingly popular in treating atrial fibrillation, a procedure in which an electrophysiologist guides a catheter into the left atrium and creates radiofrequency lesions to stop the arrhythmia. Typical visualization tools include bi-plane fluoroscopy, 2-D ultrasound, and electroanatomic maps, however, recently there has been increased interest in incorporating preoperative surface models into the procedure. Typical strategies for registration include landmark-based and surface-based methods. Drawbacks of these approaches include difficulty in accurately locating corresponding landmark pairs and the time required to sample surface points with a catheter. In this paper, we describe a new approach which models the catheter tip as a Gaussian kernel and eliminates the need to collect surface points by instead using the stream of continuosly tracked catheter points. We demonstrate the feasibility of this technique with a left atrial phantom model and compare the results with a standard surface based approach.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2011
Subtitle of host publicationVisualization, Image-Guided Procedures, and Modeling
StatePublished - 2011
EventMedical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling - Lake Buena Vista, FL, United States
Duration: Feb 13 2011Feb 15 2011

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


OtherMedical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling
Country/TerritoryUnited States
CityLake Buena Vista, FL

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


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