Abstract #0137

Fully Automatic Left Atrium and Pulmonary Veins Segmentation for Late Gadolinium Enhanced MRI Combining Contrast Enhanced MRA

Qian Tao¹, Esra Gucuk Ipek², Rahil Shahzad¹, Floris F. Berendsen¹, Saman Nazarian², and Rob J. van der Geest¹

¹Department of Radiology, Leiden University Medical Center, Leiden, Netherlands, ²Department of Cardiology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States

The extent and distribution of left atrial (LA) scar, visualized by LGE MR, can provide important information for treatment of atrial fibrillation (AF) patients. However, in current practice, to extract such information requires substantial manual effort and expertise. In this study, a fully automatic method was developed to segment LA and PV’s in LGE-MRI, combining robust multi-atlas segmentation and flexible level-set based segmentation optimization. The method demonstrated comparable accuracy to manual segmentation, with improved 3D continuity. The method enables automated generation of patient-specific LA and PV geometry models, and potentially objective LA scar assessment for individual AF patients.

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