 
 
 
 
 
 
 
  
 Little et. al. [6] have constructed a variant of the landmark
spline, incorporating  regions which undergo independent
linear transformations only. The method is applied to pre-segmented images,
with regions classified as hard or soft tissue.
 The hard tissue regions form a set 
 of n rigid
bodies
of n rigid
bodies  such that
such that 
 ,
where one
body Oi, can  consist of separate parts (all undergoing the same
linear transformation) but  no two bodies may overlap. 
The method  uses  a
distance transform  to weight differently the linear and
non-linear components of the overall image mapping, such that the non-linear
terms are smoothly reduced to zero as the rigid bodies are approached, and
each rigid body is constrained to its own linear mapping while contributing
to the underlying linear drift of the non-rigid areas.
,
where one
body Oi, can  consist of separate parts (all undergoing the same
linear transformation) but  no two bodies may overlap. 
The method  uses  a
distance transform  to weight differently the linear and
non-linear components of the overall image mapping, such that the non-linear
terms are smoothly reduced to zero as the rigid bodies are approached, and
each rigid body is constrained to its own linear mapping while contributing
to the underlying linear drift of the non-rigid areas.