Towards 3D Ultrasound Guided Needle Steering Robust to Uncertainties, Noise, and Tissue Heterogeneity

Autor: Guillaume Lapouge, Jocelyne Troccaz, Philippe Poignet
Přispěvatelé: Gestes Medico-chirurgicaux Assistés par Ordinateur (TIMC-GMCAO), Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525 (TIMC ), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Conception et commande de robots pour la manipulation (DEXTER), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), ANR-11-LABX-0004,CAMI,Gestes Médico-Chirurgicaux Assistés par Ordinateur(2011), ANR-19-P3IA-0003,MIAI,MIAI @ Grenoble Alpes(2019)
Rok vydání: 2021
Předmět:
Zdroj: IEEE Transactions on Biomedical Engineering
IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2021, 68 (4), pp.1166-1177. ⟨10.1109/TBME.2020.3022619⟩
ISSN: 1558-2531
0018-9294
DOI: 10.1109/tbme.2020.3022619
Popis: International audience; This paper presents a new solution for 3D steering of flexible needles guided by 3D B-mode ultrasound imaging. It aims to realize a robust steering, by accounting for uncertainties, noise and tissue heterogeneities, while limiting tissue-related disturbances. The proposed solution features interconnected state observer, automatic needle tip segmentation and path planning algorithms. Measurement quality, state uncertainties and tissue heterogeneity are considered for robust needle steering with helical paths of variable curvature. Fast replanning allows for adaptability to unexpected disturbances. An experimental validation has been done through 62 insertions of 24 Gauge bevel-tip nitinol needles in various tissue. Results are promising, characterized by mean targeting errors of less than 1 mm in homogeneous phantoms, 1.5 ± 0.9 mm in heterogeneous phantoms and 1.7 ± 0.8 mm in ex-vivo tissue. This new approach is a step towards a precise and robust patient-specific gesture.
Databáze: OpenAIRE