Simulation to Augment Standardized Patients in Obstetric Ultrasound Training
Date of Award
Fall 2007
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computational Modeling & Simulation Engineering
Program/Concentration
Modeling and Simulation
Committee Director
Frederic D. McKenzie
Committee Member
Jiang Li
Committee Member
Yuzhong Shen
Call Number for Print
Special Collections LD4331.E53 G85 2007
Abstract
Standardized patients are actors used in medical training to teach and eval11atc clinical skills of students prior to their using these skills on an actual patient. Augmented Reality is a relatively new technology that can be used to augment standardized patients with abnonnalitie8 and pathologies that they cannot portray themselves as normal healthy human beings. In our project, we sought to augment standardized patients with a 12-week- old fetus in order to train and possibly evaluate medical students and professionals in performing obstetric ultrasound procedures and interpreting the corresponding ultrasound image results.
The software library ARToolkit provided the framework for our computer application, utilizing a visual tracking system that consisted of merely a single webcam and several black and white pattern targets. OpenGL functions were used to render three-dimensional virtual objects and apply two-dimensional textures. More complex anatomical shapes were created and modified using 3ds Max software and then imported into om program during execution. Our final application featured one view displaying the video frames with superimposed vi1tual objects, another view exposing all of the virtual objects in three-dimensional space, and a final view showing two-dimensional ultrasound output.
Rights
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DOI
10.25777/kmyg-cf11
Recommended Citation
Guirlinger, Scott R..
"Simulation to Augment Standardized Patients in Obstetric Ultrasound Training"
(2007). Master of Science (MS), Thesis, Computational Modeling & Simulation Engineering, Old Dominion University, DOI: 10.25777/kmyg-cf11
https://digitalcommons.odu.edu/msve_etds/77