Review of Robotic Needle Guide Systems for Percutaneous Intervention.

Biopsy Image guided MRI Needle insertion Percutaneous therapy Robotics

Journal

Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 27 03 2019
accepted: 02 07 2019
pubmed: 3 8 2019
medline: 18 4 2020
entrez: 3 8 2019
Statut: ppublish

Résumé

Numerous research groups in the past have designed and developed robotic needle guide systems that improve the targeting accuracy and precision by either providing a physical guidance for manual insertion or enabling a complete automated intervention. Here we review systems that have been reported in the last 11 years and limited to straight line needle interventions. Most systems fall under the category of image guided systems as they either use magnetic resonance image, computed tomography, ultrasound or a combination of these modalities for real time image feedback of the intervention path being followed. Actuation and control technology along with materials used for construction are the main aspects that differentiate these systems from each other and have been reviewed here. Image compatibility test details and results are also reviewed as they are used to ensure proper functioning of these systems under the respective imaging environments. We have also reviewed needle guide systems which either don't use any image feedback or have not reported any but provide physical guidance. Throughout this paper, we provide a comprehensive review of the technological aspects and trends in the field of robotic, straight line, needle guide intervention systems.

Identifiants

pubmed: 31372856
doi: 10.1007/s10439-019-02319-9
pii: 10.1007/s10439-019-02319-9
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2489-2513

Commentaires et corrections

Type : ErratumIn

Auteurs

Pankaj Kulkarni (P)

Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA.

Sakura Sikander (S)

Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA.

Pradipta Biswas (P)

Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA.

Shawn Frawley (S)

Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA.

Sang-Eun Song (SE)

Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA. s.song@ucf.edu.

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Classifications MeSH