Describes a technique for symmetry detection and measurement of 3D medical entities based on an algorithm for general 3D symmetry identification. The technique can recognize a number of symmetries including bilateral, central, and rotational; and it expresses them in terms of a symmetry measure called 'the symmetry degree'. It is based on traversals of the octree obtained by the principal axis transform of the input octree, therefore it requires that the medical entity be represented by its octree. This may be the only technique for 3D symmetry measurement that can deal with arbitrary medical entities. The procedure is demonstrated on two skull models reconstructed from axial CT scans but it is applicable to entity models obtained by other techniques as well. It is also shown how to use this procedure for invariant alignment of different images of the same entity for their comparative analysis.<<ETX>>
[1]
Hanan Samet,et al.
The Design and Analysis of Spatial Data Structures
,
1989
.
[2]
Sargur N. Srihari,et al.
A hierarchical data structure for multidimensional digital images
,
1983,
CACM.
[3]
Hiroshi Takasaki.
Moiré topography from its birth to practical application
,
1982
.
[4]
H.S. Stiehl.
3D image understanding in radiology
,
1990,
IEEE Engineering in Medicine and Biology Magazine.
[5]
S Yokoi,et al.
Computer system for craniofacial surgical planning based on CT images.
,
1990,
IEEE transactions on medical imaging.
[6]
Jayaram K. Udupa,et al.
Registration of 3D objects and surfaces
,
1990,
IEEE Computer Graphics and Applications.