000003351 001__ 3351
000003351 005__ 20190219081243.0
000003351 037__ $$aINPRO--2009-081
000003351 041__ $$aeng
000003351 100__ $$aHernández, Mónica
000003351 245__ $$aRegistration of anatomical images using geodesic paths of diffeomorphisms parameterized with stationary vector fields
000003351 260__ $$c2007-10-14
000003351 300__ $$amult. p
000003351 500__ $$aBest MMBIA 2007 paper award
000003351 520__ $$a Computational Anatomy aims for the study of the statistical variability in anatomical structures. Variability is encoded by the transformations existing among populations of anatomical images. These transformations are usually computed from diffeomorphic registration based on the large deformation paradigm. In this framework diffeomorphisms are usually computed as end points of paths on the Riemannian manifold of diffeomorphisms parameterized by non-stationary vector fields. Recently, an alternative parameterization based on stationary vector fields has been developed. In this article we propose to use this stationary parameterization for diffeomorphic registration. We formulate the variational problem related to this registration scenario and derive the associated Euler-Lagrange equations. We evaluate the performance of the non-stationary vs the stationary parameterizations in real and synthetic 3D-MRI datasets. Compared to the non-stationary parameterization, our proposal provides similar accuracy in terms of image matching and deformation smoothness while drastically reducing memory and time requirements.
000003351 540__ $$9info:eu-repo/semantics/openAccess$$aEsta obra está sujeta a una licencia de uso Creative Commons. Se permite la reproducción total o parcial, la distribución, la comunicación pública de la obra y la creación de obras derivadas, siempre que no sea con finalidades comerciales, y sempre que se reconzca la autoria de la obra original.$$uhttps://creativecommons.org/licenses/by-nc/4.0/
000003351 6531_ $$adiffeomorphic registration
000003351 6531_ $$astationary parameterization
000003351 700__ $$aBossa, Matias N.
000003351 700__ $$aOlmos Gassó, Salvador
000003351 8560_ $$fmhg@unizar.es
000003351 8564_ $$s380222$$uhttps://zaguan.unizar.es/record/3351/files/INPRO--2009-081.pdf$$zArchivo asociado
000003351 9102_ $$aCiencia de la computación e inteligencia artificial$$bInformática e Ingeniería de Sistemas
000003351 980__ $$aPREPRINT