This paper deals with the problem of generating quality tetrahedral meshes for image registration. From an initial coarse mesh the approach matches the mesh to the image volume by combining red-green subdivision and mesh evolution through mesh-to-image matching regularized with a mesh quality measure. The method was tested on a T1 weighted MR volume of an adult brain and showed a 66% reduction in the number of mesh vertices compared to a red-subdivision strategy. The deformation capability of the mesh was tested by registration to five additional T1-weighted MR volumes.
|Title of host publication||2013 20th IEEE International Conference on Image Processing (ICIP)|
|Publication status||Published - 2013|
|Event||2013 IEEE International Conference on Image Processing (ICIP) - Melbourne, Australia|
Duration: 15 Sep 2013 → 18 Sep 2013
|Conference||2013 IEEE International Conference on Image Processing (ICIP)|
|Period||15/09/2013 → 18/09/2013|