@article{schwenderling_augmented_2022,
	title = {Augmented reality visualization of automated path planning for percutaneous interventions: a phantom study},
	volume = {17},
	issn = {1861-6429},
	url = {https://doi.org/10.1007/s11548-022-02690-4},
	doi = {10.1007/s11548-022-02690-4},
	abstract = {Insertion point identification is a major challenge for percutaneous interventions. Planning in 2D slice image data is time-consuming and inefficient. Automated path planning can help to overcome these challenges. However, the setup of the intervention room is difficult to consider. In addition, transferring the insertion point to the skin is often prone to error. Therefore, a visualization for an automated path planning was implemented.},
	number = {11},
	journal = {International Journal of Computer Assisted Radiology and Surgery},
	author = {Schwenderling, Lovis and Heinrich, Florian and Hansen, Christian},
	month = nov,
	year = {2022},
	pages = {2071--2079}
}