@article{schott_exploring_2022,
	series = {Current {Directions} in {Biomedical} {Engineering}},
	title = {Exploring object and multi-target instrument tracking for {AR}-guided interventions},
	volume = {8},
	url = {https://doi.org/10.1515/cdbme-2022-0019},
	doi = {10.1515/cdbme-2022-0019},
	abstract = {The rapid development of available hard- and soft-ware for computer-assisted or augmented reality (AR) guidedinterventions creates a need for fast and inexpensive prototyp-ing environments. However, intraoperative tracking systems inparticular represent a high cost threshold. Therefore, this workpresents a low-cost tracking method based on a conventionalRGB camera. Here, a combined approach of multiple imagetargets and 3D object target recognition is implemented. Thesystem is evaluated with a systematic accuracy assessment an-alyzing a total of3853D positions. On average, a deviationof15.69±9.95𝑚𝑚was measured. In addition, a prototyp-ical AR-based needle navigation visualization was developedusing Microsoft HoloLens 2. This system’s feasibility and us-ability was evaluated positively in a pilot study (n=3).},
	number = {1},
	urldate = {2023-02-09},
	author = {Schott, Danny and Heinrich, Florian and Stallmeister, Lara and Hansen, Christian},
	year = {2022},
	pages = {74--77}
}