Abstract | ||
---|---|---|
Classical volume rendering is computed by casting a bundle of parallel rays from a flat viewing plane onto the volume data
set, and produces as such a spatially limited view of the objects in the data set. The method described in this paper is able
to generate an overall planar view of an object that is topologically compatible with the sphere, by firing rays from a nearby
surrounding surface and by unfolding this surface in a 2D plane, without introducing major distortions. It has been devised
to facilitate the interpretation of the cerebral cortex. An initial surface consisting of two hemi-ellipsoids, one to cover
the top and another one to surround the bottom of the brain, is interactively defined and deformed via a deformable model
approach towards a dilated version of the cortical surface of the brain. During deformation, the nodes on the surface are
continuously redistributed, to maintain a near homothetic mapping with the plane. Once the surface has converged to the dilated
brain surface, rays are casted from the nodes, according to the normal of the surface at the node. The shading result, computed
at the intersection of the rays with the original brain surface, is mapped via the near homothetic mapping to the plane. With
this approach sulci can be followed in their entirety, so that it is much easier to derive their spatial relationship and
to recognize them.
|
Year | DOI | Venue |
---|---|---|
1999 | 10.1007/10704282_32 | MICCAI |
Keywords | Field | DocType |
unfolded cerebral cortex,volume rendering,spatial relationships | Computer vision,Homothetic transformation,Volume rendering,Computer science,Planar,Artificial intelligence,Deformation (mechanics),Rendering (computer graphics),Isometry (Riemannian geometry),Bundle,Triangle mesh | Conference |
Volume | ISSN | ISBN |
1679 | 0302-9743 | 3-540-66503-X |
Citations | PageRank | References |
2 | 0.43 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Junfeng Guo | 1 | 107 | 7.91 |
Alexandru Salomie | 2 | 3 | 0.79 |
Rudi Deklerck | 3 | 131 | 12.63 |
Jan Cornelis | 4 | 711 | 72.52 |