Title :
A Novel Skeleton Based Quantification and 3-D Volumetric Visualization of Left Atrium Fibrosis Using Late Gadolinium Enhancement Magnetic Resonance Imaging
Author :
Ravanelli, Daniele ; dal Piaz, Elena Costanza ; Centonze, Maurizio ; Casagranda, Giulia ; Marini, Massimiliano ; Del Greco, Maurizio ; Karim, Rashed ; Rhode, Kawal ; Valentini, Andrea
Author_Institution :
Med. Phys. Postgrad. Sch., Univ. of Study of Rome Tor Vergata, Rome, Italy
Abstract :
This work presents the results of a new tool for 3-D segmentation, quantification and visualization of cardiac left atrium fibrosis, based on late gadolinium enhancement magnetic resonance imaging (LGE-MRI), for stratifying patients with atrial fibrillation (AF) that are candidates for radio-frequency catheter ablation. In this study 10 consecutive patients suffering AF with different grades of atrial fibrosis were considered. LGE-MRI and magnetic resonance angiography (MRA) images were used to detect and quantify fibrosis of the left atrium using a threshold and 2-D skeleton based approach. Quantification and 3-D volumetric views of atrial fibrosis were compared with quantification and 3-D bipolar voltage maps measured with an electro-anatomical mapping (EAM) system, the clinical reference standard technique for atrial substrate characterization. Segmentation and quantification of fibrosis areas proved to be clinically reliable among all different fibrosis stages. The proposed tool obtains discrepancies in fibrosis quantification less than 4% from EAM results and yields accurate 3-D volumetric views of fibrosis of left atrium. The novel 3-D visualization and quantification tool based on LGE-MRI allows detection of cardiac left atrium fibrosis areas. This noninvasive method provides a clinical alternative to EAM systems for quantification and localization of atrial fibrosis.
Keywords :
angiocardiography; biomedical MRI; bone; catheters; diseases; gadolinium; image enhancement; image segmentation; medical image processing; 3D bipolar voltage maps; 3D quantification; 3D segmentation; 3D volumetric visualization; MRI; atrial fibrillation; atrial substrate characterization; cardiac left atrium fibrosis; clinical reference standard technique; electro-anatomical mapping system; fibrosis quantification; late gadolinium enhancement magnetic resonance imaging; magnetic resonance angiography images; novel skeleton based quantification; radiofrequency catheter ablation; stratifying patients; Biomedical imaging; Image segmentation; Magnetic resonance imaging; Myocardium; Skeleton; Three-dimensional displays; Atrial fibrosis; electro-anatomical mapping systems; late gadolinium enhancement magnetic resonance imaging (MRI); skeletonization; three-dimensional (3-D) image processing;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2013.2290324