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Published in: Journal of Robotic Surgery 1/2024

01-12-2024 | Brachytherapy | Research

A mechanics-based model for a tendon-driven active needle navigating inside a multiple-layer tissue

Authors: Blayton Padasdao, Bardia Konh

Published in: Journal of Robotic Surgery | Issue 1/2024

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Abstract

Percutaneous minimally invasive procedures such brachytherapy and biopsy require a flexible active needle for precise movement inside tissue and accurate placement at target positions for higher success rates for diagnosis and treatment, respectively. In a previous work, we presented a tendon-driven active needle to navigate inside tissue. This work presents a new model to predict the deflection of the tendon-driven needle while steering in a multiple-layer soft tissue. A multi-layer phantom tissue with different localized stiffness was developed for needle insertion tests followed by indentation tests to identify its mechanical properties. Using a robot that inserts and actively bends the tendon-driven needle inside the soft tissue while simultaneously tracking the needle through ultrasound imaging, various experiments were conducted for model validation. The proposed model was verified by comparing the simulation results to the empirical data. The results demonstrated the accuracy of the model in predicting the tendon-driven needle deflection in multiple-layer (different stiffness) soft tissue.
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Metadata
Title
A mechanics-based model for a tendon-driven active needle navigating inside a multiple-layer tissue
Authors
Blayton Padasdao
Bardia Konh
Publication date
01-12-2024
Publisher
Springer London
Keyword
Brachytherapy
Published in
Journal of Robotic Surgery / Issue 1/2024
Print ISSN: 1863-2483
Electronic ISSN: 1863-2491
DOI
https://doi.org/10.1007/s11701-024-01900-2

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