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Interventional radiology virtual simulator for liver biopsy

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.
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https://hal.inria.fr/hal-00849184
Contributor : Pierre-Frédéric Villard <>
Submitted on : Tuesday, July 30, 2013 - 2:14:24 PM
Last modification on : Tuesday, May 18, 2021 - 3:42:01 PM
Long-term archiving on: : Wednesday, April 5, 2017 - 6:10:10 PM

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Pierre-Frédéric Villard, Franck P. Vidal, Llyr Ap Cenydd, Richard Holbrey, S. Pisharody, et al.. Interventional radiology virtual simulator for liver biopsy. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2013, pp.1-13. ⟨10.1007/s11548-013-0929-0⟩. ⟨hal-00849184⟩

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