TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. A digital twin for robotic post mortem tissue sampling using virtual reality
 
Options

A digital twin for robotic post mortem tissue sampling using virtual reality

Publikationstyp
Journal Article
Date Issued
2025-09-10
Sprache
English
Author(s)
Neidhardt, Maximilian  
Medizintechnische und Intelligente Systeme E-1  
Bosse, Ludwig  
Medizintechnische und Intelligente Systeme E-1  
Raudonis, Vidas  
Allgoewer, Kristina  
Heinemann, Axel  
Ondruschka, Benjamin  
Schlaefer, Alexander  
Medizintechnische und Intelligente Systeme E-1  
TORE-URI
https://hdl.handle.net/11420/57561
Journal
IEEE Robotics and automation letters  
Volume
10
Issue
11
Start Page
11141
End Page
11147
Citation
IEEE Robotics and automation letters 10 (11): 11141-11147 (2025)
Publisher DOI
10.1109/LRA.2025.3608655
Scopus ID
2-s2.0-105015431275
Publisher
Institute of Electrical and Electronics Engineers Inc.
Studying tissue samples obtained during autopsies is the gold standard when diagnosing the cause of death and for understanding disease pathophysiology. Recently, the interest in post mortem minimally invasive biopsies has grown which is a less destructive approach in comparison to an open autopsy and reduces the risk of infection. While manual biopsies under ultrasound guidance are more widely performed, robotic post mortem biopsies have been recently proposed. This approach can further reduce the risk of infection for physicians. However, planning of the procedure and control of the robot need to be efficient and usable. We explore a virtual reality setup with a digital twin to realize fully remote planning and control of robotic post mortem biopsies. The setup is evaluated with forensic pathologists in a usability study for three interaction methods. Furthermore, we evaluate clinical feasibility and evaluate the system with three human cadavers. Overall, 132 needle insertions were performed with an off-axis needle placement error of 5.30±3.25 mm. Tissue samples were successfully biopsied and histopathologically verified. Users reported a very intuitive needle placement approach, indicating that the system is a promising, precise, and low-risk alternative to conventional approaches.
Subjects
Path Planning
Robot Control
Soft Tissue
User Interface
Virtual Reality
DDC Class
005: Computer Programming, Programs, Data and Security
610: Medicine, Health
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback