Non-local statistical label fusion for multi-atlas segmentation

► We propose a novel statistical fusion algorithm, Non-Local STAPLE (NLS). ► NLS seamlessly integrates intensity into the estimation process. ► NLS provides a theoretically consistent model of multi-atlas observation error. ► NLS largely diminishes the need for large atlas sets and high quality registration. ► We demonstrate superior performance over the state-of-the-art approaches.