Villard, PF, Vidal, FP, ap Cenydd, L et al. (7 more authors) (2014) Interventional radiology virtual simulator for liver biopsy. International Journal of Computer Assisted Radiology and Surgery, 9 (2). pp. 255-267. ISSN 1861-6410
Abstract
Purpose
Training in Interventional Radiology currently uses the apprenticeship model, where clinical and technical skills of invasive procedures are learnt during practice in patients. This apprenticeship training method is increasingly limited by regulatory restrictions on working hours, concerns over patient risk through trainees’ inexperience and the variable exposure to case mix and emergencies during training. To address this, we have developed a computer-based simulation of visceral needle puncture procedures.
Methods
A real-time framework has been built that includes: segmentation, physically based modelling, haptics rendering, pseudo-ultrasound generation and the concept of a physical mannequin. It is the result of a close collaboration between different universities, involving computer scientists, clinicians, clinical engineers and occupational psychologists.
Results
The technical implementation of the framework is a robust and real-time simulation environment combining a physical platform and an immersive computerized virtual environment. The face, content and construct validation have been previously assessed, showing the reliability and effectiveness of this framework, as well as its potential for teaching visceral needle puncture.
Conclusion
A simulator for ultrasound-guided liver biopsy has been developed. It includes functionalities and metrics extracted from cognitive task analysis. This framework can be useful during training, particularly given the known difficulties in gaining significant practice of core skills in patients.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014, Wiley. This is an author produced version of a paper published in International Journal of Computer Assisted Radiology and Surgery. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://dx.doi.org/10.1007/s11548-013-0929-0 |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Jul 2014 10:11 |
Last Modified: | 03 Dec 2020 16:32 |
Published Version: | http://dx.doi.org/10.1007/s11548-013-0929-0 |
Status: | Published |
Publisher: | Springer |
Refereed: | Yes |
Identification Number: | 10.1007/s11548-013-0929-0 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:79953 |