Optical flow based deformable volume registration using a novel second-order regularization prior

Sasa Grbic, Martin Urschler, Thomas Pock, Horst Bischof

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

Abstract

Nonlinear image registration is an initial step for a large number of medical image analysis applications. Optical flow based intensity registration is often used for dealing with intra-modality applications involving motion differences. In this work we present an energy functional which uses a novel, second-order regularization prior of the displacement field. Compared to other methods our scheme is robust to non-Gaussian noise and does not penalize locally affine deformation fields in homogeneous areas. We propose an efficient and stable numerical scheme to find the minimizer of the presented energy. We implemented our algorithm using modern consumer graphics processing units and thereby increased the execution performance dramatically. We further show experimental evaluations on clinical CT thorax data sets at different breathing states and on dynamic 4D CT cardiac data sets.
Originalspracheenglisch
TitelProc. SPIE 7623, Medical Imaging 2010: Image Processing
Redakteure/-innenBenoit M. Dawant, David R. Haynor
Herausgeber (Verlag)SPIE
DOIs
PublikationsstatusVeröffentlicht - 2010

Fields of Expertise

  • Information, Communication & Computing

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  • Dieses zitieren

    Grbic, S., Urschler, M., Pock, T., & Bischof, H. (2010). Optical flow based deformable volume registration using a novel second-order regularization prior. in B. M. Dawant, & D. R. Haynor (Hrsg.), Proc. SPIE 7623, Medical Imaging 2010: Image Processing SPIE. https://doi.org/10.1117/12.844549