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Automatic estimation of error in voxel-based registration

Crum, WR; Griffin, LD; Hawkes, DJ; (2004) Automatic estimation of error in voxel-based registration. In: (pp. pp. 821-828).

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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 same assumptions used to choose the image similarity measure. The analysis identifies the most significant scale of voxel clusters in the residual image for a coarse estimate of error. A partial volume correction is then applied to estimate finer and sub-voxel displacements. We describe the algorithm and present the results of an evaluation on rigid-body registrations where the ground-truth error is known. Automated measures may ultimately provide a useful estimate of the scale of registration error. © Springer-Verlag Berlin Heidelberg 2004.

Type: Proceedings paper
Title: Automatic estimation of error in voxel-based registration
URI: http://discovery.ucl.ac.uk/id/eprint/184516
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