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courses:456:2023:projects:456-2023-05:project-05 [2023/05/09 15:36] – [Reports and presentations] zliu189courses:456:2023:projects:456-2023-05:project-05 [2023/05/11 03:40] (current) – [Reports and presentations] zliu189
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 By using a virtual C-arm model in the VR environment to train residents who had few experience observing C-arm procedures, they showed an overall significant improvement in C-Arm placement with regards to angular accuracy (mean ~2 degree improvement), and total procedure time (mean 11 minutes less time) for interventional spine procedures. (Allen et al. 2022)  By using a virtual C-arm model in the VR environment to train residents who had few experience observing C-arm procedures, they showed an overall significant improvement in C-Arm placement with regards to angular accuracy (mean ~2 degree improvement), and total procedure time (mean 11 minutes less time) for interventional spine procedures. (Allen et al. 2022) 
-We intend to improve upon the limitations of this work by adding: + 
-Interaction with surgical tools +We intend to develop a virtual reality (VR) training environment for percutaneous pelvic fracture surgery to overcome the challenges of traditional C-arm fluoroscopy training, including ionizing radiation exposure and the complexity of human anatomy. The VR simulation will allow clinicians to train without radiation exposure, collect detailed operation data, and test new surgical techniques or protocols. The proposed project consists of three goals, including developing a foundation for a realistic and immersive training environment, integrating interactive C-arm and surgical tools, and developing a sophisticated simulation of K-wire and screw insertion interactions. The solution aims to reduce training costs, enhance patient outcomes, and increase accessibility to C-arm fluoroscopy training, providing orthopedic surgeons with a safe and effective learning platform.
-Simulation of needle-tissue interaction +
-Use the more accurate DRRs generated by DeepDRR rather than the naive ray tracing method+
  
 {{:courses:456:2023:projects:456-2023-05:background.png?600|}} {{:courses:456:2023:projects:456-2023-05:background.png?600|}}
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     * {{:courses:456:2023:projects:456-2023-05:cisii_poster2023.pptx|Poster}}     * {{:courses:456:2023:projects:456-2023-05:cisii_poster2023.pptx|Poster}}
   * Project Final Report   * Project Final Report
-    * {{:courses:456:2023:projects:456-2023-05:final_report.pdf|Final Report}}+    * {{:courses:456:2023:projects:456-2023-05:cisfinal_report.pdf|Final Report}} 
 +  * Project Mentor Report 
 +    * {{:courses:456:2023:projects:456-2023-05:cis_ii_2023_project_mentors_report_team05.pdf|Mentor Report}}
   * Documentation   * Documentation
     * {{:courses:456:2023:projects:456-2023-05:cis2_srs.pdf| Software Requirement Specifications}}     * {{:courses:456:2023:projects:456-2023-05:cis2_srs.pdf| Software Requirement Specifications}}
     * {{:courses:456:2023:projects:456-2023-05:interface_specification.pdf| Interface Specification}}     * {{:courses:456:2023:projects:456-2023-05:interface_specification.pdf| Interface Specification}}
 +    * [[https://pelvisvr.github.io/deepdrr_zmq/deepdrrzmq.html|API Documentation]]
  
 ======Project Bibliography======= ======Project Bibliography=======
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 8.J. Moo-Young, T. M. Weber, B. Kapralos, A. Quevedo, and F. Alam, “Development of Unity Simulator for Epidural Insertion Training for Replacing Current Lumbar Puncture Simulators,” Cureus, vol. 13, no. 2, p. e13409, doi: 10.7759/cureus.13409. 8.J. Moo-Young, T. M. Weber, B. Kapralos, A. Quevedo, and F. Alam, “Development of Unity Simulator for Epidural Insertion Training for Replacing Current Lumbar Puncture Simulators,” Cureus, vol. 13, no. 2, p. e13409, doi: 10.7759/cureus.13409.
 ======Other Resources and Project Files====== ======Other Resources and Project Files======
-Github:https://github.com/PelvisVR. +  * Github Organization: https://github.com/PelvisVR 
 +  * Client-side repository: https://git.lcsr.jhu.edu/pelvisvr/vr_surgical_room 
 +  * Server-side repository: https://github.com/PelvisVR/deepdrr_zmq 
 +  * API Documentation: https://pelvisvr.github.io/deepdrr_zmq/deepdrrzmq.html
courses/456/2023/projects/456-2023-05/project-05.1683646565.txt.gz · Last modified: by zliu189




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