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Conference papers

FEM-based confidence assessment of non-rigid registration

Paul Baksic 1, 2 Hadrien Courtecuisse 1, 3 Matthieu Chabanas 2 Bernard Bayle 1 
2 TIMC-IMAG-GMCAO - Gestes Medico-chirurgicaux Assistés par Ordinateur
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
Abstract : Non-rigid registration is often used for 3D representations during surgical procedures. It needs to provide good precision in order to guide the surgeon properly. We propose here a method that allows the computation of a local upper bound of the registration confidence over the whole organ volume. Using a bio-mechanical model, we apply tearing forces over the whole organ to compute the upper bound of the degrees of freedom left by the registrations constraints. Confrontation of our method with experimental data shows promising results to estimate the registration confidence. Indeed, the computed maximum error appears to be a real upper bound.
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Submitted on : Thursday, August 1, 2019 - 5:20:04 PM
Last modification on : Tuesday, September 27, 2022 - 4:15:33 AM
Long-term archiving on: : Wednesday, January 8, 2020 - 3:49:03 PM


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  • HAL Id : hal-02238974, version 1


Paul Baksic, Hadrien Courtecuisse, Matthieu Chabanas, Bernard Bayle. FEM-based confidence assessment of non-rigid registration. Surgetica 2019, 2019, Rennes, France. ⟨hal-02238974⟩



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