| Literature DB >> 24505716 |
Ameer Pasha Hosseinbor1, Moo K Chung2, Stacey M Schaefer2, Carien M van Reekum3, Lara Peschke-Schmitz2, Matt Sutterer2, Andrew L Alexander2, Richard J Davidson2.
Abstract
We present a novel surface parameterization technique using hyperspherical harmonics (HSH) in representing compact, multiple, disconnected brain subcortical structures as a single analytic function. The proposed hyperspherical harmonic representation (HyperSPHARM) has many advantages over the widely used spherical harmonic (SPHARM) parameterization technique. SPHARM requires flattening 3D surfaces to 3D sphere which can be time consuming for large surface meshes, and can't represent multiple disconnected objects with single parameterization. On the other hand, HyperSPHARM treats 3D object, via simple stereographic projection, as a surface of 4D hypersphere with extremely large radius, hence avoiding the computationally demanding flattening process. HyperSPHARM is shown to achieve a better reconstruction with only 5 basis compared to SPHARM that requires more than 441.Entities:
Mesh：
Year: 2013 PMID： 24505716 PMCID： PMC4033314 DOI： 10.1007/978-3-642-40811-3_75
Source DB: PubMed Journal: Med Image Comput Comput Assist Interv