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An MR Safe Double-Arch Needle Insertion Robot with Scissor-Folding Mechanism for Abdominal Percutaneous Interventions*

Liang, Ziting; Lu, Chuang; Yang, Haoqian; Hashem, Ryman; Abdelaziz, Mohamed EMK; Lindenroth, Lukas; Bandula, Steve; ... Stilli, Agostino; + view all (2024) An MR Safe Double-Arch Needle Insertion Robot with Scissor-Folding Mechanism for Abdominal Percutaneous Interventions*. In: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). (pp. pp. 11010-11017). IEEE: Abu Dhabi, United Arab Emirates. Green open access

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Abstract

Tumors affecting abdominal organs rank among the deadliest malignancies. In this context, Magnetic Resonance Imaging (MRI) serves as an effective diagnostic tool with a strong potential to support image-guided minimally invasive interventions for treating these tumours, offering an ionizing-radiation-free medical modality. MRI provides exceptional soft tissue contrast and multi-angle imaging, enabling accurate intraoperative localisation of target tumours within these vital organs. Nevertheless, MRI-guided minimally invasive interventions still encounter significant challenges due to the strong magnetic field environment and the narrow and deep bore of MRI machines. This paper proposes a novel MR safe 5-degrees-of-freedom (DoFs) parallel table-mounted double-arch needle insertion robot with a scissor-folding mechanism (SFM) for abdominal interventions. The proposed robot is designed to fit a standard 70-cm MRI bore. Initial evaluation experiments indicate mean errors of 3.14 mm for the proposed robotic arch and 2.23 mm for the full needle insertion robot, respectively. Additionally, preliminary testing of the system in an MRI environment resulted in unaltered MRI imaging output, with negligible artefacts associated with the presence of the robot within the bore.

Type: Proceedings paper
Title: An MR Safe Double-Arch Needle Insertion Robot with Scissor-Folding Mechanism for Abdominal Percutaneous Interventions*
Event: 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Dates: 14 Oct 2024 - 18 Oct 2024
ISBN-13: 979-8-3503-7770-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/IROS58592.2024.10802516
Publisher version: https://doi.org/10.1109/IROS58592.2024.10802516
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Minimally invasive surgery; Magnetic resonance imaging; Needles; Magnetic fields; Robots; Standards; Medical diagnostic imaging; Intelligent robots; Tumors; Testing
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10205173
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