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Automatic Estimation of Error in Voxel-Based Registration
[chapter]
2004
Lecture Notes in Computer Science
Image registration driven by similarity measures that are simple functions of voxel intensities is now widely used in medical applications. Validation of registration in general remains an unsolved problem; measurement of registration error usually requires manual intervention. This paper presents a general framework for automatically estimating the scale of spatial registration error. The error is estimated from a statistical analysis of the scale-space of a residual image constructed with the
doi:10.1007/978-3-540-30135-6_100
fatcat:xxsaiba2qbfjvloludf4x74rby