
Galloway RL Jr, Peters T (2008) Overview and history of image-guided interventions. Galloway RL Jr (2001) The process and development of image-guided procedures. įaul F, Erdfelder E, Buchner A, Lang AG (2009) Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Įftekhar B (2016) A smartphone app to assist scalp localization of superficial supratentorial lesions-technical note. Int J Comput Assist Radiol Surg 12(3):363–378. ĭrouin S, Kochanowska A, Kersten-Oertel M, Gerard IJ, Zelmann R, De Nigris D, Bériault S, Arbel T, Sirhan D, Sadikot AF, Hall JA, Sinclair DS, Petrecca K, DelMaestro RF, Collins DL (2016) IBIS: an OR ready open-source platform for image-guided neurosurgery. In: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), vol 7264 LNCS, pp 13–23. Stereotact Funct Neurosurg 92(1):17–24ĭrouin S, Kersten-Oertel M, Chen SJS, Collins DL (2012) A realistic test and development environment for mixed reality in neurosurgery. ĭeng W, Li F, Wang M, Song Z (2014) Easy-to-use augmented reality neuronavigation using a wireless tablet PC. The improvement in efficiency and usability over previous systems will facilitate bringing AR into the OR.Ĭarbone M, Piazza R, Condino S (2020) Commercially available head- mounted displays are unsuitable for augmented reality surgical guidance: a call for focused research for surgical applications.
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MARIN improves upon previously proposed mobile AR neuronavigation systems with its real-time performance, higher accuracy, full integration in the normal workflow and greater interactivity and customizability of the displayed information. Further, MARIN AR visualization was found to be more intuitive and allowed users to estimate target depth more easily.

The results of the user study showed that MARIN performs significantly better in terms of both time ( \(p <0.0004\)) and accuracy ( \(p <0.04\)) for the task of target localization in comparison with a traditional image-guided neurosurgery (IGNS) navigation system. The system was tested in a user study with 17 subjects for qualitative and quantitative evaluation in the context of target localization and brought into the OR for preliminary feasibility tests, where qualitative feedback from surgeons was obtained. MARIN (mobile augmented reality interactive neuronavigation system) improves upon the state of the art in terms of performance, allowing real-time augmentation, and interactivity by allowing users to interact with the displayed data. We propose a complete system that performs real-time AR video augmentation on a mobile device in the context of image-guided neurosurgery. In recent years, there has been considerable interest in using mobile devices for AR in the operating room (OR). Neuronavigation systems making use of augmented reality (AR) have been the focus of much research in the last couple of decades.
