by Florian Heinrich, Fabian Joeres, Kai Lawonn, Christian Hansen
Abstract:
Augmented reality (AR) is a promising tool to improve instrument navigation in needle-based interventions. Limited research has been conducted regarding suitable navigation visualizations. In this work, three navigation concepts based on existing approaches were compared in a user study using a projective AR setup. Each concept was implemented with three different scales for accuracy-to-color mapping and two methods of navigation indicator scaling. Participants were asked to perform simulated needle insertion tasks with each of the resulting 18 prototypes. Insertion angle and insertion depth accuracies were measured and analyzed, as well as task completion time and participants' subjectively perceived task difficulty. Results show a clear ranking of visualization concepts across variables. Less consistent results were obtained for the color and indicator scaling factors. Results suggest that logarithmic indicator scaling achieved better accuracy, but participants perceived it to be more difficult than linear scaling. With specific results for angle and depth accuracy, our study contributes to the future composition of improved navigation support and systems for precise needle insertion or similar applications.
Reference:
Comparison of Projective Augmented Reality Concepts to Support Medical Needle Insertion (Florian Heinrich, Fabian Joeres, Kai Lawonn, Christian Hansen), In IEEE Transactions on Visualization and Computer Graphics, volume 25, 2019.
Bibtex Entry:
@article{heinrich_comparison_2019,
	title = {Comparison of {Projective} {Augmented} {Reality} {Concepts} to {Support} {Medical} {Needle} {Insertion}},
	volume = {25},
	issn = {1077-2626},
	doi = {10.1109/TVCG.2019.2903942},
	abstract = {Augmented reality (AR) is a promising tool to improve instrument navigation in needle-based interventions. Limited research has been conducted regarding suitable navigation visualizations. In this work, three navigation concepts based on existing approaches were compared in a user study using a projective AR setup. Each concept was implemented with three different scales for accuracy-to-color mapping and two methods of navigation indicator scaling. Participants were asked to perform simulated needle insertion tasks with each of the resulting 18 prototypes. Insertion angle and insertion depth accuracies were measured and analyzed, as well as task completion time and participants' subjectively perceived task difficulty. Results show a clear ranking of visualization concepts across variables. Less consistent results were obtained for the color and indicator scaling factors. Results suggest that logarithmic indicator scaling achieved better accuracy, but participants perceived it to be more difficult than linear scaling. With specific results for angle and depth accuracy, our study contributes to the future composition of improved navigation support and systems for precise needle insertion or similar applications.},
	number = {6},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	author = {Heinrich, Florian and Joeres, Fabian and Lawonn, Kai and Hansen, Christian},
	month = jun,
	year = {2019},
	keywords = {accuracy-to-color mapping, augmented reality, computed tomography, data visualisation, Evaluation, indicator scaling factors, instrument guidance, instrument navigation, Instruments, logarithmic indicator scaling, medical computing, medical navigation systems, medical needle insertion, Monitoring, Navigation, navigation indicator scaling, navigation visualizations, needle placement, needle-based interventions, needles, projective AR setup, projective augmented reality, Task analysis, Visualization, visualization concepts},
	pages = {2157--2167}
}