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Graph Based Slice-to-Volume Deformable Registration

Abstract : Deformable image registration plays a fundamental role in many clinical applications. 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 scalable, 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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Contributor : Enzo Ferrante Connect in order to contact the contributor
Submitted on : Friday, October 23, 2015 - 4:42:48 PM
Last modification on : Thursday, February 3, 2022 - 3:01:40 AM
Long-term archiving on: : Friday, April 28, 2017 - 7:55:15 AM


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  • HAL Id : hal-01220005, version 1


Enzo Ferrante, Nikos Paragios. Graph Based Slice-to-Volume Deformable Registration. [Research Report] RR-8803, INRIA Saclay; Center for Visual Computing, CentraleSupelec, Inria, Université Paris-Saclay. 2015, pp.30. ⟨hal-01220005⟩



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