Interventional radiology virtual simulator for liver biopsy

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.

[1]  Fernando Bello,et al.  Virtual Reality Simulation of Liver Biopsy with a Respiratory Component , 2011 .

[2]  Darwin G. Caldwell,et al.  Integrating Haptics with Augmented Reality in a Femoral Palpation and Needle Insertion Training Simulation , 2011, IEEE Transactions on Haptics.

[3]  Tony DeRose,et al.  Surface reconstruction from unorganized points , 1992, SIGGRAPH.

[4]  Mariano Alcañiz Raya,et al.  Real-time deformable models for surgery simulation: a survey , 2005, Comput. Methods Programs Biomed..

[5]  Sarah F. Frisken 3D Chainmail: A Fast Algorithm for Deforming Volumetric Objects , 1997, SI3D.

[6]  M. P. McNamara,et al.  Preparation of a homemade ultrasound biopsy phantom , 1989, Journal of clinical ultrasound : JCU.

[7]  Nigel W. John,et al.  Simulation of ultrasound guided needle puncture using patient specific data with 3D textures and volume haptics , 2008, Comput. Animat. Virtual Worlds.

[8]  Luc Soler,et al.  Ultrasound and needle insertion simulators built on real patient-based data , 2007, MMVR.

[9]  Joshua Stern,et al.  Percutaneous renal access simulators. , 2007, Journal of endourology.

[10]  Luis Ibáñez,et al.  The ITK Software Guide , 2005 .

[11]  Franck Patrick Vidal,et al.  Tuning of Patient-Specific Deformable Models Using an Adaptive Evolutionary Optimization Strategy , 2012, IEEE Transactions on Biomedical Engineering.

[12]  R. Aggarwal,et al.  Role of patient‐specific virtual reality rehearsal in carotid artery stenting , 2012, The British journal of surgery.

[13]  Rajesh Aggarwal,et al.  Recent Advancements in Medical Simulation: Patient-Specific Virtual Reality Simulation , 2012, World Journal of Surgery.

[14]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[15]  Nassir Navab,et al.  Real-Time Simulation of Medical Ultrasound from CT Images , 2008, MICCAI.

[16]  P. Gevenois,et al.  Respiratory effects of the external and internal intercostal muscles in humans , 2001, The Journal of physiology.

[17]  Ying Li,et al.  Soft Object Modelling with Generalised ChainMail — Extending the Boundaries of Web‐based Graphics , 2003, Comput. Graph. Forum.

[18]  D. Gould,et al.  Virtual reality, ultrasound-guided liver biopsy simulator: development and performance discrimination. , 2012, The British journal of radiology.

[19]  Luc Soler,et al.  IN VIVO STUDY OF FORCES DURING NEEDLE INSERTIONS , 2004 .

[20]  Sonny Chan,et al.  Integration of Patient-Specific Paranasal Sinus Computed Tomographic Data into a Virtual Surgical Environment , 2009, American journal of rhinology & allergy.

[21]  Fernando Bello,et al.  Percutaneous Transhepatic Cholangiography Training Simulator with Real-time Breathing Motion , 2008 .

[22]  G. Wahba Spline models for observational data , 1990 .

[23]  Derek R. Magee,et al.  An augmented reality simulator for ultrasound guided needle placement training , 2007, Medical & Biological Engineering & Computing.

[24]  Ivo Wolf,et al.  Application of a new segmentation tool based on interactive simplex meshes to cardiac images and pulmonary MRI data. , 2007, Academic radiology.

[25]  Robert DiRaddo,et al.  NeuroTouch: A Physics-Based Virtual Simulator for Cranial Microneurosurgery Training , 2012, Neurosurgery.

[26]  Jenny Dankelman,et al.  Needle-tissue interaction forces--a survey of experimental data. , 2012, Medical engineering & physics.

[27]  Jean-Louis Dillenseger,et al.  Fast simulation of ultrasound images from a CT volume , 2009, Comput. Biol. Medicine.

[28]  Martin Styner,et al.  Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets , 2009, IEEE Transactions on Medical Imaging.

[29]  Nick J. Avis,et al.  VR-Based Training and Assessment in Ultrasound-Guided Regional Anesthesia: From Error Analysis to System Design , 2011, MMVR.

[30]  Fernando Bello,et al.  A Discussion on the Evaluation of A New Automatic Liver Volume Segmentation Method for Specified CT Image Datasets , 2007 .

[31]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.

[32]  David M. Tabriz,et al.  Objective assessment of operator performance during ultrasound-guided procedures , 2011, International Journal of Computer Assisted Radiology and Surgery.

[33]  Grace Wahba,et al.  Spline Models for Observational Data , 1990 .

[34]  B. Fornage A simple phantom for training in ultrasound‐guided needle biopsy using the freehand technique. , 1989, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.