Augmented reality for interventional oncology: proof-of-concept study of a novel high-end guidance system platform View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

Marco Solbiati, Katia M. Passera, Alessandro Rotilio, Francesco Oliva, Ilaria Marre, S. Nahum Goldberg, Tiziana Ierace, Luigi Solbiati

ABSTRACT

Background: To assess the feasibility of a novel system that uses augmented reality to guide interventional oncology procedures. Methods: This study was conducted in accordance to the guidelines of the local institutional review boards. Evaluation of an augmented reality system based upon a tablet, a needle handle and a set of markers was performed in three experimental models. Initially, a male anthropomorphic trunk phantom equipped with five polyvinyl chloride bars (two of 16 cm in length and 3 cm in diameter and four of 45, 30 or 20 cm in length and 2 cm in diameter) was used to study the accuracy of the system without respiratory motion or tissue compression. Next, small metallic targets were placed in a porcine model to evaluate how respiration affects the system accuracy. Finally, the performance of the system on a more complete model, a cadaver with liver metastasis, was tested. Results: In all experimental settings, extremely high targeting accuracy of < 5 mm in all cases was achieved: 2.0 ± 1.5 mm (mean ± standard deviation) for the anthropomorphic model, 3.9 ± 0.4 mm for the porcine model, and 2.5 mm and 2.8 mm for the two metastases in the cadaver model. Conclusions: Augmented reality can assist with needle guidance with great target accuracy for interventional procedures by simultaneously visualising three-dimensional reconstructed anatomical structures, tumour targets and interventional devices on a patient's body, enabling performance of procedures in a simple and confident way. More... »

PAGES

18

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s41747-018-0054-5

DOI

http://dx.doi.org/10.1186/s41747-018-0054-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105688169

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30148251


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