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A System for Augmented Reality Guided Ventricular Puncture Using a HoloLens: Design, Implementation and Initial Evaluation [in press]

Kunz, Christian; Hlavac, Michal; Schneider, Max; Hein, Bjoern; Puljiz, David; Peikert, Steffen

Abstract (englisch):
In the treatment of patients surgical assistance systems are becoming increasingly established worldwide. The idea is to provide the surgeon with suitable assistance at the right time during the ongoing surgical procedure.
We propose a surgical assistance system that supports the surgeon during ventricular puncture by visualizing the target area using a Microsoft HoloLens TM . Preoperatively an individual patient head model is reconstructed from
computer tomography (CT)-data and a marker is attached to the patient, which is tracked during the procedure. The visualized target region must be positioned as accurately as possible during the surgical procedure to provide
safe guidance for the surgeon. To ensure this we register the marker system to the patient’s head by using an Iterative Closest Point (ICP) based surface matching algorithm. The presented system will be examined in detail
with regard to the render performance of the HoloLens. Furthermore, a qualitative online analysis is performed. The results show that the Augmented Reality (AR)-headset can be successfully used to visualize medical data
and that the patient can be ... mehr

Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Jahr 2018
Sprache Englisch
Identifikator ISBN: 978-3-00-060786-8
KITopen ID: 1000086035
Erschienen in 17. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), Leipzig, Germany, 13 - 15 September 2018
Seiten 132-137
Projektinformation Holomed (BMBF, 01IS17005B)
Schlagworte Computer Assisted Surgery, Surgical Assistance, Augmented Reality, Ventricular Puncture, Surface Matching, Marker-based Tracking
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