Graph-Based Slice-to-Volume Deformable Registration

Abstract : Deformable image registration is a fundamental problem in computer vision and medical image computing. In this paper we investigate the use of graphical models in the context of a particular type of image registration problem, known as slice-to-volume registration. We introduce a scal-able, modular and flexible formulation that can accommodate low-rank and high order terms, that simultaneously selects the plane and estimates the in-plane deformation through a single shot optimization approach. The proposed framework is instantiated into different variants seeking either a compromise between computational efficiency (soft plane selection constraints and approximate definition of the data similarity terms through pair-wise components) or exact definition of the data terms and the constraints on the plane selection. Simulated and real-data in the context of ultrasound and magnetic resonance registration (where both framework instantiations as well as different optimization strategies are considered) demonstrate the potentials of our method.
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Article dans une revue
International Journal of Computer Vision, Springer Verlag, 2017, 〈10.1007/s11263-017-1040-8〉
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Contributeur : Enzo Ferrante <>
Soumis le : mardi 22 août 2017 - 19:12:00
Dernière modification le : jeudi 7 février 2019 - 17:29:14


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Enzo Ferrante, Nikos Paragios. Graph-Based Slice-to-Volume Deformable Registration. International Journal of Computer Vision, Springer Verlag, 2017, 〈10.1007/s11263-017-1040-8〉. 〈hal-01576314〉



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