Title :
Volumetric identification of left atrial fibrosis from delayed enhancement magnetic resonance imaging in atrial fibrillation: Preliminary results
Author :
Leonardi, Roberta ; Veronesi, Federico ; Severi, Stefano ; Mantovan, Roberto ; Corsi, Cristiana
Author_Institution :
DEI, Univ. of Bologna, Cesena, Italy
Abstract :
Delayed gadolinium enhancement magnetic resonance (DE-MR) imaging can be used for in vivo detection of left atrium (LA) fibrosis and scarring, whose identification is important for atrial fibrillation (AF) treatment. This study presents a new tool for 3D visualization of cardiac LA fibrosis based on DE-MR imaging and its qualitative validation by comparison with electro-anatomic mapping (EAM). Angio-MR (MRA) and DE-MR images were acquired and registered applying an affine transformation. Automatic LA segmentation was obtained from MRA images. Color-coded gray level intensities of DE-MR images were used as texture for the LA 3D surface model. The comparison in 4 patients between our 3D surface model and the 3D EAM confirmed the qualitative correspondence between the low-potential areas and the high-enhanced areas in DE-MR. Preliminary results on volumetric visualization of LA fibrosis based on DE-MR and MRA data processing have shown promising results and simple thresholding of our color-coded map could lead to a fast 3D quantification and localization of LA fibrosis.
Keywords :
affine transforms; bioelectric potentials; biomedical MRI; cardiology; colour graphics; data acquisition; data visualisation; diseases; feature extraction; image enhancement; image registration; image segmentation; image texture; medical image processing; physiological models; 3D cardiac LA fibrosis visualization; AF treatment; DE-MR data processing; DE-MR high-enhanced area; DE-MR image acquisition; DE-MR low-potential area; EAM; LA 3D surface model texture; LA fibrosis localization; LA fibrosis volumetric visualization; MRA data processing; MRA image acquisition; affine transformation; angio-MR image acquisition; atrial fibrillation treatment; automatic LA segmentation; color-coded gray level intensity; color-coded map thresholding; delayed gadolinium enhancement magnetic resonance imaging; electroanatomic mapping; fast 3D LA fibrosis quantification; image registration; in vivo LA fibrosis detection; in vivo LA scarring detection; left atrial fibrosis identification; qualitative correspondence; qualitative validation; volumetric identification; Biomedical imaging; Image segmentation; Magnetic resonance imaging; Saturation magnetization; Solid modeling; Three-dimensional displays; Visualization;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
Print_ISBN :
978-1-4799-4346-3