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:Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters.
Authors:Amini SKersten-Oertel M
Link:https://www.ncbi.nlm.nih.gov/pubmed/32038868?dopt=Abstract
Category:Healthc Technol Lett
PMID:32038868
Dept Affiliation: PERFORM
1 Department of Computer Science and Software Engineering, Concordia University, Montréal, QC, Canada H3G 2V8.
2 PERFORM Centre, Concordia University, Montréal, QC, Canada H4B 1R6.

Description:

Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters.

Healthc Technol Lett. 2019 Dec;6(6):261-265

Authors: Amini S, Kersten-Oertel M

Abstract

In breast reconstruction following a single mastectomy, the surgeon needs to choose between tens of available implants to find the one that can reproduce the symmetry of the patient's breasts. However, due to the lack of measurement tools this decision is made purely visually, which means the surgeon has to order multiple implants to confirm the size for every single patient. In this Letter, the authors present an augmented reality application, which enables surgeons to see the shape of the implants, as 3D holograms on the patient's body. They custom developed a two-chamber implant that can gain different shapes and be used to test the system. Furthermore, the system was tested in a user study with 13 subjects. The study showed that subjects were able to do a comparison between real and holographic implants and come to a decision about which should be used. This method can be quicker than the traditional way and eliminates sizer implants from the process. Further advantages of the method include the use of a more accurate, user-friendly device, which is easily extendable as new implants that are on the market can be easily added to the system dataset.

PMID: 32038868 [PubMed]