Augmented reality for neurosurgical guidance: An objective comparison of planning interface modalities

Authors

Ryan Armstrong, The University of Western Ontario
Trinette Wright, The University of Western Ontario
Sandrine de Ribaupierre, The University of Western Ontario
Roy Eagleson, The University of Western OntarioFollow

Document Type

Conference Proceeding

Publication Date

1-1-2016

Volume

9805 LNCS

Journal

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

First Page

233

URL with Digital Object Identifier

10.1007/978-3-319-43775-0_21

Last Page

243

Abstract

Numerous augmented reality image guidance tools have been evaluated under specific clinical criteria, but there is a lack of investigation into the broad effect on targeting ability and perception. In this paper, we evaluated performance of 18 subjects on a targeting task modeling ventriculostomy trajectory planning. Users targeted ellipsoids within a mannequin head using both an augmented reality interface and a traditional slice-based interface for planning. Users were significantly more accurate by several measures using augmented reality guidance, but were seen to have significant targeting bias; depth was underestimated by users with low targeting success. Our results further demonstrate the need for superior depth cues in augmented reality implementations while providing a framework for objective evaluation of augmented reality interfaces.