Keyword search (3,172 papers available)


Automatic collateral circulation scoring in ischemic stroke using 4D CT angiography with low-rank and sparse matrix decomposition.

Author(s): Aktar M, Tampieri D, Rivaz H, Kersten-Oertel M, Xiao Y

Int J Comput Assist Radiol Surg. 2020 Jul 14;: Authors: Aktar M, Tampieri D, Rivaz H, Kersten-Oertel M, Xiao Y

Article GUID: 32662055
Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters.

Author(s): Amini S, Kersten-Oertel M

Healthc Technol Lett. 2019 Dec;6(6):261-265 Authors: Amini S, Kersten-Oertel M

Article GUID: 32038868
Cognitive load associations when utilizing auditory display within image-guided neurosurgery.

Author(s): Plazak J, DiGiovanni DA, Collins DL, Kersten-Oertel M

Int J Comput Assist Radiol Surg. 2019 Apr 17;: Authors: Plazak J, DiGiovanni DA, Collins DL, Kersten-Oertel M

Article GUID: 30997635
Quantifying attention shifts in augmented reality image-guided neurosurgery.

Author(s): Léger É, Drouin S, Collins DL, Popa T, Kersten-Oertel M

Healthc Technol Lett. 2017 Oct;4(5):188-192 Authors: Léger É, Drouin S, Collins DL, Popa T, Kersten-Oertel M

Article GUID: 29184663
Distance sonification in image-guided neurosurgery.

Author(s): Plazak J, Drouin S, Collins L, Kersten-Oertel M

Healthc Technol Lett. 2017 Oct;4(5):199-203 Authors: Plazak J, Drouin S, Collins L, Kersten-Oertel M

Article GUID: 29184665
Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases.

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

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

Article GUID: 29392162
Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system.

Author(s): Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M

Healthc Technol Lett. 2018 Oct;5(5):137-142 Authors: Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M

Article GUID: 30800320
Title:Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases.
Authors:Gerard IJ,  Kersten-Oertel M,  Drouin S,  Hall JA,  Petrecca K,  De Nigris D,  Di Giovanni DA,  Arbel T,  Collins DL
Link:https://www.ncbi.nlm.nih.gov/pubmed/29392162?dopt=Abstract
Category:J Med Imaging (Bellingham)
PMID:29392162
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]