Literature DB >> 33705306

An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation.

Dennis Kundrat, Giulio Dagnino, Trevor M Y Kwok, Mohamed E M K Abdelaziz, Wenqiang Chi, Anh Nguyen, C V Riga, Guang-Zhong Yang.   

Abstract

OBJECTIVE: Cardiovascular diseases are the most common cause of global death. Endovascular interventions, in combination with advanced imaging technologies, are promising approaches for minimally invasive diagnosis and therapy. More recently, teleoperated robotic platforms target improved manipulation accuracy, stabilization of instruments in the vasculature, and reduction of patient recovery times. However, benefits of recent platforms are undermined by a lack of haptics and residual patient exposure to ionizing radiation. The purpose of this research was to design, implement, and evaluate a novel endovascular robotic platform, which accommodates emerging non-ionizing magnetic resonance imaging (MRI).
METHODS: We proposed a pneumatically actuated MR-safe teleoperation platform to manipulate endovascular instrumentation remotely and to provide operators with haptic feedback for endovascular tasks. The platform task performance was evaluated in an ex vivo cannulation study with clinical experts (N = 7) under fluoroscopic guidance and haptic assistance on abdominal and thoracic phantoms.
RESULTS: The study demonstrated that the robotic dexterity involving pneumatic actuation concepts enabled successful remote cannulation of different vascular anatomies with success rates of 90% - 100%. Compared to manual cannulation, slightly lower interaction forces between instrumentation and phantoms were measured for specific tasks. The maximum robotic interaction forces did not exceed 3 N.
CONCLUSION: This research demonstrates a promising versatile robotic technology for remote manipulation of endovascular instrumentation in MR environments. SIGNIFICANCE: The results pave the way for clinical translation with device deployment to endovascular interventions using non-ionising real-time 3D MR guidance.

Entities:  

Year:  2021        PMID: 33705306     DOI: 10.1109/TBME.2021.3065146

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

1.  State of the Art and Future Opportunities in MRI-Guided Robot-Assisted Surgery and Interventions.

Authors:  Hao Su; Ka-Wai Kwok; Kevin Cleary; Iulian Iordachita; M Cenk Cavusoglu; Jaydev P Desai; Gregory S Fischer
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2022-05-03       Impact factor: 14.910

2.  An Endovascular Catheterization Robotic System Using Collaborative Operation with Magnetically Controlled Haptic Force Feedback.

Authors:  Xinming Li; Shuxiang Guo; Peng Shi; Xiaoliang Jin; Masahiko Kawanishi
Journal:  Micromachines (Basel)       Date:  2022-03-25       Impact factor: 3.523

Review 3.  Robot-Assisted Image-Guided Interventions.

Authors:  Michael Unger; Johann Berger; Andreas Melzer
Journal:  Front Robot AI       Date:  2021-07-12

4.  An Isomorphic Interactive Device for the Interventional Surgical Robot after In Vivo Study.

Authors:  Cheng Yang; Shuxiang Guo; Xianqiang Bao
Journal:  Micromachines (Basel)       Date:  2022-01-11       Impact factor: 2.891

  4 in total

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