Title :
Automatic extraction of the left atrial anatomy from MR for atrial fibrillation ablation
Author :
Karim, Rashed ; Rueckert, Daniel ; Mohiaddin, Raad ; Drivas, Peter
Author_Institution :
Dept. of Comput., Imperial Coll. London, London, UK
fDate :
June 28 2009-July 1 2009
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.
Keywords :
biomedical MRI; blood vessels; feature extraction; image segmentation; medical image processing; MR; atrial fibrillation ablation; automatic extraction; contrast-enhanced magnetic resonance angiography; left atrial anatomy; pulmonary vein drainages; vessel trees; Anatomy; Atrial fibrillation; Biomedical imaging; Blood vessels; Euclidean distance; Filters; Image segmentation; Magnetic resonance; Shape; Veins; Blood vessels; Segmentation; magnetic resonance angiocardiography;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193094