Keyword search (4,163 papers available)

"Kersten-Oertel M" Authored Publications:

Title Authors PubMed ID
1 Connect Brain, a Mobile App for Studying Depth Perception in Angiography Visualization: Gamification Study Titov A; Drouin S; Kersten-Oertel M; 41341989
ENCS
2 Surgical hyperspectral imaging: a systematic review Ali HM; Xiao Y; Kersten-Oertel M; 40824764
ENCS
3 Assessment of cognitive load in the context of neurosurgery Di Giovanni DA; Kersten-Oertel M; Drouin S; Collins DL; 40650801
PERFORM
4 Exploring interaction paradigms for segmenting medical images in virtual reality Jones Z; Drouin S; Kersten-Oertel M; 40402355
ENCS
5 CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke Aktar M; Tampieri D; Xiao Y; Rivaz H; Kersten-Oertel M; 40250214
ENCS
6 A database of magnetic resonance imaging-transcranial ultrasound co-registration Alizadeh M; Collins DL; Kersten-Oertel M; Xiao Y; 39920905
SOH
7 Guest editorial: Papers from the 18th joint workshop on Augmented Environments for Computer Assisted Interventions (AE-CAI) at MICCAI 2024: Guest editors' foreword Linte CA; Yaniv Z; Chen E; Drouin S; Kersten-Oertel M; McLeod J; Sarikaya D; Wang J; 39834896
ENCS
8 iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings Asadi Z; Castillo JP; Asadi M; Sinclair DS; Kersten-Oertel M; 39816703
ENCS
9 Virtual reality-based preoperative planning for optimized trocar placement in thoracic surgery: A preliminary study Harirpoush A; Rakovich G; Kersten-Oertel M; Xiao Y; 39720764
ENCS
10 Correction: LapBot-Safe Chole: validation of an artificial intelligence-powered mobile game app to teach safe cholecystectomy St John A; Khalid MU; Masino C; Noroozi M; Alseidi A; Hashimoto DA; Altieri M; Serrot F; Kersten-Oertel M; Madani A; 39317911
ENCS
11 Education in Laparoscopic Cholecystectomy: Design and Feasibility Study of the LapBot Safe Chole Mobile Game Noroozi M; St John A; Masino C; Laplante S; Hunter J; Brudno M; Madani A; Kersten-Oertel M; 39052314
ENCS
12 A usability analysis of augmented reality and haptics for surgical planning Kazemipour N; Hooshiar A; Kersten-Oertel M; 38942947
ENCS
13 Virtual and Augmented Reality in Ventriculostomy: A Systematic Review Alizadeh M; Xiao Y; Kersten-Oertel M; 38823448
ENCS
14 A decade of progress: bringing mixed reality image-guided surgery systems in the operating room Asadi Z; Asadi M; Kazemipour N; Léger É; Kersten-Oertel M; 38794834
ENCS
15 Papers from the 17th Joint Workshop on Augmented Environments for Computer Assisted Interventions at MICCAI 2023: Guest Editors' Foreword Linte CA; Yaniv Z; Chen E; Dou Q; Drouin S; Kalia M; Kersten-Oertel M; McLeod J; Sarikaya D; 38638501
CONCORDIA
16 Breamy: An augmented reality mHealth prototype for surgical decision-making in breast cancer Najafi N; Addie M; Meterissian S; Kersten-Oertel M; 38638506
ENCS
17 SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage Aktar M; Xiao Y; Tehrani AKZ; Tampieri D; Rivaz H; Kersten-Oertel M; 38364600
ENCS
18 Deep learning for collateral evaluation in ischemic stroke with imbalanced data Aktar M; Reyes J; Tampieri D; Rivaz H; Xiao Y; Kersten-Oertel M; 36635594
ENCS
19 Automatic collateral circulation scoring in ischemic stroke using 4D CT angiography with low-rank and sparse matrix decomposition. Aktar M, Tampieri D, Rivaz H, Kersten-Oertel M, Xiao Y 32662055
ENCS
20 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
21 Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters. Amini S, Kersten-Oertel M 32038868
PERFORM
22 Cognitive load associations when utilizing auditory display within image-guided neurosurgery. Plazak J, DiGiovanni DA, Collins DL, Kersten-Oertel M 30997635
ENCS
23 Quantifying attention shifts in augmented reality image-guided neurosurgery. Léger É, Drouin S, Collins DL, Popa T, Kersten-Oertel M 29184663
PERFORM
24 Distance sonification in image-guided neurosurgery. Plazak J, Drouin S, Collins L, Kersten-Oertel M 29184665
PERFORM
25 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
26 Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system. Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M 30800320
PERFORM

 

Title:iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings
Authors:Asadi ZCastillo JPAsadi MSinclair DSKersten-Oertel M
Link:https://pubmed.ncbi.nlm.nih.gov/39816703/
DOI:10.1049/htl2.12118
Publication:Healthcare technology letters
Keywords:augmented realitybrainhealth careimage fusionman‐machine systemsmobile computingsmart phonessurgeryvirtual reality
PMID:39816703 Category: Date Added:2025-01-16
Dept Affiliation: ENCS
1 Gina Cody School of Engineering and Computer Science Concordia University Montreal Quebec Canada.
2 Departments of Neurology and Neurosurgery, Montreal Neurological Institute and Hospital McGill University Montreal Quebec Canada.

Description:

Global disparities in neurosurgical care necessitate innovations addressing affordability and accuracy, particularly for critical procedures like ventriculostomy. This intervention, vital for managing life-threatening intracranial pressure increases, is associated with catheter misplacement rates exceeding 30% when using a freehand technique. Such misplacements hold severe consequences including haemorrhage, infection, prolonged hospital stays, and even morbidity and mortality. To address this issue, a novel, stand-alone mobile-based augmented reality system (iSurgARy) aimed at significantly improving ventriculostomy accuracy, particularly in resource-limited settings such as those in low- and middle-income countries is presented. iSurgARy uses landmark based registration by taking advantage of light detection and ranging to allow for accurate surgical guidance. To evaluate iSurgARy, a two-phase user study is conducted. Initially, the usability and learnability is assessed with novice participants using the system usability scale (SUS), incorporating their feedback to refine the application. In the second phase, human-computer interaction and clinical domain experts are engaged to evaluate this application, measuring root mean square error, SUS and NASA task load index metrics to assess accuracy usability, and cognitive workload, respectively.





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