Back to articles
Articles
Volume: 1 | Article ID: art00029
Image
Physical patient simulators for surgical training: a review
  DOI :  10.2352/issn.2694-118X.2020.LIM-05  Published OnlineSeptember 2020
Abstract

The purpose of this article is to review the fabrication process of physical patient simulators for surgical training and describes current research areas. Medical image acquisition and analysis are tools to reproduce human anatomy in 3D models. Data acquisition techniques include CT scans, MRI, and ultrasound. Postprocessing of this data is necessary to obtain a file for 3D printing. Two available fabrication methods are direct 3D printing of an organ model and 3D printing a mould to cast an organ replica. Direct 3D printing presents several limitations. Therefore, casting techniques with silicones and hydrogels are better suited for the fabrication of softer tissue models. Surgeons qualitatively evaluate the simulators and their ability to train students. It is also possible to make a quantitative evaluation to compare the properties of the simulators to the physical properties of organs. Different methods exist to measure the physical properties of soft tissues, mainly to find the Young modulus of the soft tissue. The tests can be in vivo, in situ or in vitro. Researchers perform tests on human tissues or animal tissues. The use of surgical simulators has shown satisfactory results in surgical training. Nonetheless, limitations remain, simulators lack realism and are not available for some pathologies. Future work in this area could be of benefit to surgical training.

Subject Areas :
Views 15
Downloads 5
 articleview.views 15
 articleview.downloads 5
  Cite this article 

Marine Shao, Carinna Parraman, David Huson, "Physical patient simulators for surgical training: a reviewin Proc. IS&T London Imaging Meeting 2020: Future Colour Imaging,  2020,  pp 124 - 128,  https://doi.org/10.2352/issn.2694-118X.2020.LIM-05

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2020
75011771
London Imaging Meeting
2694-118X
2694-118x
Society for Imaging Science and Technology