Automatic extraction of the left atrial anatomy from MR for atrial fibrillation ablation

Authors:
Rashed Karim;Daniel Rueckert;Raad Mohiaddin;Peter Drivas
Affiliations:
Imperial College London, Department of Computing, London, United Kingdom;Imperial College London, Department of Computing, London, United Kingdom;Royal Brompton Hospital, Cardiovascular and Magnetic Resonance Unit, London, United Kingdom;Royal Brompton Hospital, Cardiovascular and Magnetic Resonance Unit, London, United Kingdom
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

Citing 2
Cited 1

Muliscale Vessel Enhancement Filtering

MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic left atrium segmentation by cutting the blood pool at narrowings

MICCAI'05 Proceedings of the 8th international conference on Medical image computing and computer-assisted intervention - Volume Part II

Cardiac unfold: a novel technique for image-guided cardiac catheterization procedures

IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes and evaluates methods to detect pulmonary vein drainages and create detailed vessel trees of each drainage from contrast-enhanced magnetic resonance angiography (MRA). This description of the drainage allow us to determine the highly complex left atrial anatomy in a qualitative and quantitative way. It is beneficial for planning atrial fibrillation ablation procedures. We conclude that our methods permit the creation of drainage trees for the detailed description of the atrial anatomy from cardiac MRA data.