Keyword search (4,163 papers available)

"Hall JA" Authored Publications:

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:Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases.
Authors:Gerard IJKersten-Oertel MDrouin SHall JAPetrecca KDe Nigris DDi Giovanni DAArbel TCollins DL
Link:https://www.ncbi.nlm.nih.gov/pubmed/29392162?dopt=Abstract
DOI:10.1117/1.JMI.5.2.021210
Publication:Journal of medical imaging (Bellingham, Wash.)
Keywords:augmented realitybrain shiftbrain tumorimage-guided neurosurgeryregistration
PMID:29392162 Category:J Med Imaging (Bellingham) Date Added:2019-04-15
Dept Affiliation: PERFORM
1 McGill University, Montreal Neurological Institute and Hospital, Department of Biomedical Engineering, Montreal, Québec, Canada.
2 Concordia University, PERFORM Centre, Department of Computer Science and Software Engineering, Montreal, Québec, Canada.
3 McGill University, Montreal Neurological Institute and Hospital, Department of Neurology and Neurosurgery, Montreal, Québec, Canada.
4 McGill University, Centre for Intelligent Machines, Department of Electrical and Computer Engineering, Montreal, Québec, Canada.

Description:

Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases.

J Med Imaging (Bellingham). 2018 Apr;5(2):021210

Authors: Gerard IJ, Kersten-Oertel M, Drouin S, Hall JA, Petrecca K, De Nigris D, Di Giovanni DA, Arbel T, Collins DL

Abstract

We present our work investigating the feasibility of combining intraoperative ultrasound for brain shift correction and augmented reality (AR) visualization for intraoperative interpretation of patient-specific models in image-guided neurosurgery (IGNS) of brain tumors. We combine two imaging technologies for image-guided brain tumor neurosurgery. Throughout surgical interventions, AR was used to assess different surgical strategies using three-dimensional (3-D) patient-specific models of the patient's cortex, vasculature, and lesion. Ultrasound imaging was acquired intraoperatively, and preoperative images and models were registered to the intraoperative data. The quality and reliability of the AR views were evaluated with both qualitative and quantitative metrics. A pilot study of eight patients demonstrates the feasible combination of these two technologies and their complementary features. In each case, the AR visualizations enabled the surgeon to accurately visualize the anatomy and pathology of interest for an extended period of the intervention. Inaccuracies associated with misregistration, brain shift, and AR were improved in all cases. These results demonstrate the potential of combining ultrasound-based registration with AR to become a useful tool for neurosurgeons to improve intraoperative patient-specific planning by improving the understanding of complex 3-D medical imaging data and prolonging the reliable use of IGNS.

PMID: 29392162 [PubMed]





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University