Augmented reality visualization of automated path planning for percutaneous interventions: a phantom study.

Lovis Schwenderling Florian Heinrich Christian Hansen

Published in: International journal of computer assisted radiology and surgery (2022)

A projector-based AR visualization of automated path planning results supports insertion point identification for percutaneous interventions. A display of the path quality enables the choice of safe access paths especially for unexperienced users. Further research is needed to identify clinical benefits and applicability.

Keyphrases

deep learning
machine learning
physical activity
minimally invasive
high throughput
ultrasound guided
radiofrequency ablation
magnetic resonance imaging
quality improvement
decision making
image quality