| Literature DB >> 31402834 |
Liyun Tu1, Dan Yang2, Jared Vicory3, Xiaohong Zhang4, Stephen M Pizer3, Martin Styner5.
Abstract
We present a scheme that propagates a reference skeletal model (s-rep) into a particular case of an object, thereby propagating the initial shape-related layout of the skeleton-to-boundary vectors, called spokes. The scheme represents the surfaces of the template as well as the target objects by spherical harmonics and computes a warp between these via a thin plate spline. To form the propagated s-rep, it applies the warp to the spokes of the template s-rep and then statistically refines. This automatic approach promises to make s-rep fitting robust for complicated objects, which allows s-rep based statistics to be available to all. The improvement in fitting and statistics is significant compared with the previous methods and in statistics compared with a state-of-the-art boundary based method.Entities:
Keywords: Correspondence propagation; medical imaging; skeletal model; statistical analysis; thin plate spline
Year: 2015 PMID: 31402834 PMCID: PMC6688764 DOI: 10.1109/LSP.2015.2476366
Source DB: PubMed Journal: IEEE Signal Process Lett ISSN: 1070-9908 Impact factor: 3.109