Preoperative trajectory planning for percutaneous procedures in deformable environments - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue Computerized Medical Imaging and Graphics Année : 2015

Preoperative trajectory planning for percutaneous procedures in deformable environments

Résumé

In image-guided percutaneous interventions, a precise planning of the needle path is a key factor to a successful intervention. In this paper we propose a novel method for computing a patient-specific optimal path for such interventions, accounting for both the deformation of the needle and soft tissues due to the insertion of the needle in the body. To achieve this objective, we propose an optimization method for estimating preoperatively a curved trajectory allowing to reach a target even in the case of tissue motion and needle bending. Needle insertions are simulated and regarded as evaluations of the objective function by the iterative planning process. In order to test the planning algorithm, it is coupled with a fast needle insertion simulation involving a flexible needle model and soft tissue finite element modeling, and experimented on the use-case of thermal ablation of liver tumors. Our algorithm has been successfully tested on twelve datasets of patient-specific geometries. Fast convergence to the actual optimal solution has been shown. This method is designed to be adapted to a wide range of percutaneous interventions.
Fichier principal
Vignette du fichier
prop_hamze.pdf (5.54 Mo) Télécharger le fichier
Vignette du fichier
preop_hamza.png (127.8 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Format : Figure, Image
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01242842 , version 1 (14-12-2015)

Identifiants

Citer

Noura Hamzé, Igor Peterlík, Stéphane Cotin, Caroline Essert. Preoperative trajectory planning for percutaneous procedures in deformable environments. Computerized Medical Imaging and Graphics, 2015, 47, pp.16-28. ⟨10.1016/j.compmedimag.2015.10.002⟩. ⟨hal-01242842⟩
262 Consultations
440 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More