Exploring object and multi-target instrument tracking for AR-guided interventions

Abstract: The rapid development of available hard- and software for computer-assisted or augmented reality (AR) guided interventions creates a need for fast and inexpensive prototyping environments. However, intraoperative tracking systems in particular represent a high cost threshold. Therefore, this work presents a low-cost tracking method based on a conventional RGB camera. Here, a combined approach of multiple image targets and 3D object target recognition is implemented. The system is evaluated with a systematic accuracy assessment analyzing a total of 385 3D positions. On average, a deviation of 15,69+-9,95 mm was measured. In addition, a prototypical AR-based needle navigation visualization was developed using Microsoft HoloLens 2. This system’s feasibility and usability was evaluated positively in a pilot study (n=3).

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Exploring object and multi-target instrument tracking for AR-guided interventions ; volume:8 ; number:1 ; year:2022 ; pages:74-77 ; extent:4 ; Current directions in biomedical engineering ; 8, Heft 1 (2022), 74-77 (gesamt 4)

Contributors, Places and Time

• Creator: Schott, Danny ; Heinrich, Florian ; Stallmeister, Lara ; Hansen, Christian

Further information

• DOI: 10.1515/cdbme-2022-0019
• URN: urn:nbn:de:101:1-2022080214030519979874
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:26 AM CEST