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Metrics for evaluating spatial correspondence between brain images include voxel overlap (i.e., ROI‐based) metrics as well as point‐based distance metrics. The proposed framework involves the identification of point‐based anatomical fiducials (AFIDs) in a series of brain images, which provide an intuitive millimetric estimate of correspondence error between images and is also a useful tool for teaching neuroanatomy
