HAMZÉ, Noura, Igor PETERLÍK, Stéphane COTIN and Caroline ESSERT. Preoperative trajectory planning for percutaneous procedures in deformable environments. Computerized Medical Imaging and Graphics. Elsevier, 2016, vol. 47, No 1, p. 16-28. ISSN 0895-6111. Available from: https://dx.doi.org/10.1016/j.compmedimag.2015.10.002.
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Basic information
Original name Preoperative trajectory planning for percutaneous procedures in deformable environments
Name in Czech Pre-operativní plánování trajektorie pro perkutánní zákroky v deformovatelných prostředích
Authors HAMZÉ, Noura (760 Syrian Arab Republic), Igor PETERLÍK (703 Slovakia, belonging to the institution), Stéphane COTIN (250 France) and Caroline ESSERT (250 France).
Edition Computerized Medical Imaging and Graphics, Elsevier, 2016, 0895-6111.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 1.738
RIV identification code RIV/00216224:14610/16:00089427
Organization unit Institute of Computer Science
Doi http://dx.doi.org/10.1016/j.compmedimag.2015.10.002
UT WoS 000369681600002
Keywords in English Constraint solving; Optimization; Trajectory planning; Flexible needles; Biomechanics; Deformable models; Finite Element Method (FEM); Interventional radiology; Percutaneous procedures; Radiofrequency ablation; Cryoablation
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Alena Mokrá, učo 362754. Changed: 27/4/2018 10:08.
Abstract
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.
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