Spherical Demons: Fast Surface Registration - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2008

Spherical Demons: Fast Surface Registration

Abstract

We present the fast Spherical Demons algorithm for registering two spherical images. By exploiting spherical vector spline interpolation theory, we show that a large class of regularizers for the modified demons objective function can be efficiently implemented on the sphere using convolution. Based on the one parameter subgroups of diffeomorphisms, the resulting registration is diffeomorphic and fast -- registration of two cortical mesh models with more than 100k nodes takes less than 5 minutes, comparable to the fastest surface registration algorithms. Moreover, the accuracy of our method compares favorably to the popular FreeSurfer registration algorithm. We validate the technique in two different settings: (1) parcellation in a set of in-vivo cortical surfaces and (2) Brodmann area localization in ex-vivo cortical surfaces.

Domains

Medical Imaging
Fichier principal
Vignette du fichier
SphericalDemons-MICCAI08-Yeo.pdf (308.14 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

inria-00287048 , version 1 (10-06-2008)

Identifiers

  • HAL Id : inria-00287048 , version 1

Cite

B.T. Thomas Yeo, Mert Sabuncu, Tom Vercauteren, Nicholas Ayache, Bruce Fischl, et al.. Spherical Demons: Fast Surface Registration. Medical Image Computing and Computer Assisted Intervention, Sep 2008, New York, United States. ⟨inria-00287048⟩
145 View
287 Download

Share

Gmail Mastodon Facebook X LinkedIn More