1. Interventional radiology virtual simulator for liver biopsy
- Author
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Andrew J. Bulpitt, Derek Gould, S Pisharody, Franck Vidal, Fernando Bello, Richard Holbrey, Pierre-Frédéric Villard, Nigel W. John, L ap Cenydd, Sheena Johnson, Visual Augmentation of Complex Environments (MAGRIT), INRIA Lorraine, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS)-Université Henri Poincaré - Nancy 1 (UHP)-Université Nancy 2-Institut National Polytechnique de Lorraine (INPL)-Centre National de la Recherche Scientifique (CNRS), Bangor University, School of Computing [Leeds], University of Leeds, Department of Computer Science [Hull], University of Hull, Manchester Business School (MBS), University of Manchester [Manchester], Imperial College London, Royal Liverpool University Hospital, and University of Liverpool-Royal Liverpool and Broadgreen University Hospital NHS Trust
- Subjects
Image-Guided Biopsy ,education ,Biomedical Engineering ,Health Informatics ,Radiology, Interventional ,Virtual reality ,computer.software_genre ,Health informatics ,030218 nuclear medicine & medical imaging ,User-Computer Interface ,03 medical and health sciences ,0302 clinical medicine ,Case mix index ,Biomedical computing ,[INFO.INFO-IM]Computer Science [cs]/Medical Imaging ,medicine ,Humans ,Computer Simulation ,Radiology, Nuclear Medicine and imaging ,Simulation ,Ultrasonography ,Haptic technology ,Image segmentation ,medicine.diagnostic_test ,business.industry ,Reproducibility of Results ,Interventional radiology ,General Medicine ,Models, Theoretical ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,Computer Graphics and Computer-Aided Design ,[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] ,Computer Science Applications ,Liver ,Virtual machine ,Task analysis ,Surgery ,Computer Vision and Pattern Recognition ,Apprenticeship ,business ,computer ,030217 neurology & neurosurgery - Abstract
International audience; 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.
- Published
- 2013
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