PERFORM Publications

Keyword search (4,163 papers available)

Title		Authors	PubMed ID
1	Clinical Yield of Electromagnetic Source Imaging and Hemodynamic Responses in Epilepsy: Validation With Intracerebral Data	Abdallah C; Hedrich T; Koupparis A; Afnan J; Hall JA; Gotman J; Dubeau F; von Ellenrieder N; Frauscher B; Kobayashi E; Grova C;	35473762 PERFORM
2	Large-scale mGluR5 network abnormalities linked to epilepsy duration in focal cortical dysplasia.	DuBois JM, Mathotaarachchi S, Rousset OG, Sziklas V, Sepulcre J, Guiot MC, Hall JA, Massarweh G, Soucy JP, Rosa-Neto P, Kobayashi E	33401137 PERFORM
3	MARIN: an open-source mobile augmented reality interactive neuronavigation system.	Léger É; Reyes J; Drouin S; Popa T; Hall JA; Collins DL; Kersten-Oertel M;	32323206 PERFORM
4	Localization Accuracy of Distributed Inverse Solutions for Electric and Magnetic Source Imaging of Interictal Epileptic Discharges in Patients with Focal Epilepsy.	Heers M, Chowdhury RA, Hedrich T, Dubeau F, Hall JA, Lina JM, Grova C, Kobayashi E	25609211 PERFORM
5	Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.	Grova C, Aiguabella M, Zelmann R, Lina JM, Hall JA, Kobayashi E	26931511 PERFORM
6	Source localization of the seizure onset zone from ictal EEG/MEG data.	Pellegrino G, Hedrich T, Chowdhury R, Hall JA, Lina JM, Dubeau F, Kobayashi E, Grova C	27059157 PERFORM
7	Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method.	Pellegrino G, Hedrich T, Chowdhury RA, Hall JA, Dubeau F, Lina JM, Kobayashi E, Grova C	29024165 PERFORM
8	Metabotropic Glutamate Receptor Type 5 (mGluR5) Cortical Abnormalities in Focal Cortical Dysplasia Identified In Vivo With [11C]ABP688 Positron-Emission Tomography (PET) Imaging.	DuBois JM, Rousset OG, Guiot MC, Hall JA, Reader AJ, Soucy JP, Rosa-Neto P, Kobayashi E	27578494 PERFORM
9	Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases.	Gerard IJ, Kersten-Oertel M, Drouin S, Hall JA, Petrecca K, De Nigris D, Di Giovanni DA, Arbel T, Collins DL	29392162 PERFORM

Title:	MARIN: an open-source mobile augmented reality interactive neuronavigation system.
Authors:	Léger É, Reyes J, Drouin S, Popa T, Hall JA, Collins DL, Kersten-Oertel M
Link:	https://www.ncbi.nlm.nih.gov/pubmed/32323206
DOI:	10.1007/s11548-020-02155-6
Publication:	International journal of computer assisted radiology and surgery
Keywords:	Augmented reality; Image-guided intervention; Interactive; Mobile; Neuronavigation;
PMID:	32323206	Category:	Int J Comput Assist Radiol Surg	Date Added:	2020-04-24
Dept Affiliation:	PERFORM 1 Department of Computer Science and Software Engineering, Concordia University, 1455 Boul. de Maisonneuve O., Montreal, QC H3G 1M8, Canada. etienne.leger@mail.concordia.ca. 2 Department of Computer Science and Software Engineering, Concordia University, 1455 Boul. de Maisonneuve O., Montreal, QC H3G 1M8, Canada. 3 Department of Software Engineering and Information Technology, École des Technologies Supérieures, 1100 Notre-Dame St. W., Montreal, QC H3G 1K3, Canada. 4 PERFORM Center, Concordia University, 1455 Boul. de Maisonneuve O., Montreal, QC H3G 1M8, Canada. 5 Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University St., Montreal, QC H3A 2B4, Canada. 6 McConnell Brain Imaging Center at the Montreal Neurological Institute, McGill University, 3801 University

Description:

PURPOSE: Neuronavigation systems making use of augmented reality (AR) have been the focus of much research in the last couple of decades. In recent years, there has been considerable interest in using mobile devices for AR in the operating room (OR). We propose a complete system that performs real-time AR video augmentation on a mobile device in the context of image-guided neurosurgery.

METHODS: 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. 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.

RESULTS: The results of the user study showed that MARIN performs significantly better in terms of both time ([Formula: see text]) and accuracy ([Formula: see text]) for the task of target localization in comparison with a traditional image-guided neurosurgery (IGNS) navigation system. Further, MARIN AR visualization was found to be more intuitive and allowed users to estimate target depth more easily.

CONCLUSION: 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. The improvement in efficiency and usability over previous systems will facilitate bringing AR into the OR.

PMID: 32323206 [PubMed - indexed for MEDLINE]

BookR: School of Health Core Facilities Booking

"Hall JA" Authored Publications:

Search Publications

No results