IMHOTEP: virtual reality framework for surgical applications

Autor: Hannes Kenngott, Micha Pfeiffer, Lisa Bettscheider, Matthias Huber, Anas Preukschas, Stefanie Speidel, Beat P. Müller-Stich
Rok vydání: 2018
Předmět:
FOS: Computer and information sciences
Carcinoma
Hepatocellular
Students
Medical
020205 medical informatics
Computer science
media_common.quotation_subject
Control (management)
Computer Science - Human-Computer Interaction
Biomedical Engineering
Pilot Projects
Health Informatics
Context (language use)
02 engineering and technology
Workspace
Virtual reality
Surgical planning
Health informatics
Adaptability
Human-Computer Interaction (cs.HC)
User-Computer Interface
03 medical and health sciences
Imaging
Three-Dimensional
0302 clinical medicine
Human–computer interaction
0202 electrical engineering
electronic engineering
information engineering
Hepatectomy
Humans
Computer Simulation
Radiology
Nuclear Medicine and imaging
Simulation Training
Aged
media_common
business.industry
Liver Neoplasms
Virtual Reality
Internship and Residency
General Medicine
Modular design
Computer Graphics and Computer-Aided Design
Computer Science Applications
General Surgery
Surgical Procedures
Operative
Feasibility Studies
Female
Surgery
Computer Vision and Pattern Recognition
business
030217 neurology & neurosurgery
Zdroj: International Journal of Computer Assisted Radiology and Surgery. 13:741-748
ISSN: 1861-6429
1861-6410
DOI: 10.1007/s11548-018-1730-x
Popis: Purpose: The data which is available to surgeons before, during and after surgery is steadily increasing in quantity as well as diversity. When planning a patient's treatment, this large amount of information can be difficult to interpret. To aid in processing the information, new methods need to be found to present multi-modal patient data, ideally combining textual, imagery, temporal and 3D data in a holistic and context-aware system. Methods: We present an open-source framework which allows handling of patient data in a virtual reality (VR) environment. By using VR technology, the workspace available to the surgeon is maximized and 3D patient data is rendered in stereo, which increases depth perception. The framework organizes the data into workspaces and contains tools which allow users to control, manipulate and enhance the data. Due to the framework's modular design, it can easily be adapted and extended for various clinical applications. Results: The framework was evaluated by clinical personnel (77 participants). The majority of the group stated that a complex surgical situation is easier to comprehend by using the framework, and that it is very well suited for education. Furthermore, the application to various clinical scenarios - including the simulation of excitation-propagation in the human atrium - demonstrated the framework's adaptability. As a feasibility study, the framework was used during the planning phase of the surgical removal of a large central carcinoma from a patient's liver. Conclusion: The clinical evaluation showed a large potential and high acceptance for the VR environment in a medical context. The various applications confirmed that the framework is easily extended and can be used in real-time simulation as well as for the manipulation of complex anatomical structures.
Comment: This is a post-peer-review, pre-copyedit version of an article published in the International Journal of Computer Assisted Radiology and Surgery (IJCARS). The final authenticated version is available online at: https://doi.org/10.1007/s11548-018-1730-x
Databáze: OpenAIRE
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