In this article the forearm, with its complex, continuous motion of masses
during pronation/supination, was approximated by a rigid body model consist
ing of a radial segment rotating around an ulnar segment. The method used t
o obtain the model parameters is based on three-dimensional voxel data that
include velocity information. We propose a criterion that allows the voxel
s to be attributed to either of the two segments. It is based on the notion
that the rotational kinetic energy determined from the voxel data equals t
he kinetic energy of the rigid body model. To obtain a three-dimensional sm
oothing we further propose a parameterization of the shape of both segments
. These shapes can then be used to determine the dynamic integrals of the s
egments, i.e. mass, center of mass, and inertia. Using this approach we det
ermined all model parameters for a human forearm from three series of MRI s
cans in a supinated, a pronated, and an intermediate position. In the appen
dix, a procedure is described that allows the dynamic quantities to be scal
ed homogeneously without recalculation of the integrals. Thus, this article
provides all essential parameters required for three-dimensional dynamic s
imulations of general movements of the forearm. (C) 2000 Elsevier Science L
td. All rights reserved.