In image-based biomechanical analyses, registration transformations are
the data of interest. In dynamic 4DCT imaging the capitate is often partially
imaged. While alignment of incomplete objects poses a significant registration
challenge, the established spin-image surface-matching algorithm can be utilized
to align two surfaces representing disparate but overlapping portions of an
object. For this reason the spin-image algorithm was chosen for the registration
of partial bone geometry in 4DCT of the wrist. Registrations were performed on
eleven 4DCT datasets using complete and partial capitate meshes generated by
cropping complete meshes. Relative accuracy was assessed as the difference
between partial- and complete-geometry registrations. Accurate registration of
partial capitates geometry was achieved with 55% of the proximal
capitate geometry on average, and in some cases as little as 35%.
Requisite geometry depends on feature salience and imaging resolution, however
the spin-image algorithm should be considered a valuable tool for biomechanists
and image analysts.