Vessel-based brain-shift compensation using elastic registration driven by a patient-specific finite element model

Abstract : During brain tumor surgery, planning and guidance are based on pre-operative images which do not account for brain-shift. However, this shift is a major source of error in neuro-navigation systems and affects the accuracy of the procedure. The vascular tree is extracted from pre-operative Magnetic Resonance Angiography and from intra-operative Doppler ultrasound images, which provides sparse information on brain deformations. The pre-operative images are then updated based on an elastic registration of the blood vessels, driven by a patient-specific biomechanical model. This biomechanical model is used to extrapolate the deformation to the surrounding soft tissues. Quantitative results on a single surgical case are provided, with an evaluation of the execution time for each processing step. Our method is proved to be efficient to compensate for brain deformation while being compatible with a surgical process.
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Communication dans un congrès
International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Jun 2016, Heidelberg, Germany
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Contributeur : Fanny Morin <>
Soumis le : mardi 14 juin 2016 - 13:48:07
Dernière modification le : vendredi 24 novembre 2017 - 13:27:02
Document(s) archivé(s) le : jeudi 15 septembre 2016 - 10:47:17

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  • HAL Id : hal-01331713, version 1

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Fanny Morin, Ingerid Reinertsen, Hadrien Courtecuisse, Olivier Palombi, Bodil Munkvold, et al.. Vessel-based brain-shift compensation using elastic registration driven by a patient-specific finite element model. International Conference on Information Processing in Computer-Assisted Interventions (IPCAI), Jun 2016, Heidelberg, Germany. 〈hal-01331713〉

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