Author(s): St John A; Khalid MU; Masino C; Noroozi M; Alseidi A; Hashimoto DA; Altieri M; Serrot F; Kersten-Oertel M; Madani A;

No abstract available

Article GUID: 39317911

Author(s): Noroozi M; St John A; Masino C; Laplante S; Hunter J; Brudno M; Madani A; Kersten-Oertel M;

Background: Major bile duct injuries during laparoscopic cholecystectomy (LC), often stemming from errors in surgical judgment and visual misperception of critical anatomy, significantly impact morbidity, mortality, disability, and health care costs. Objective: To enhance safe LC learning, we de ...

Article GUID: 39052314

Author(s): Kazemipour N; Hooshiar A; Kersten-Oertel M;

Purpose: Proper visualization and interaction with complex anatomical data can improve understanding, allowing for more intuitive surgical planning. The goal of our work was to study what the most intuitive yet practical platforms for interacting with 3D medical data are in the context of surgical planning. Methods: We compared planning using a monitor a ...

Article GUID: 38942947

Author(s): Alizadeh M; Xiao Y; Kersten-Oertel M;

Background: Ventriculostomy, one of the most common neurosurgical procedures, involves inserting a draining catheter into the brain's ventricular system to alleviate excessive cerebrospinal fluid accumulation. Traditionally, this procedure has relied on freehand techniques guided by anatomical landmarks, which have shown a high rate of misplacement. R ...

Article GUID: 38823448

Author(s): Asadi Z; Asadi M; Kazemipour N; Léger É; Kersten-Oertel M;

Advancements in mixed reality (MR) have led to innovative approaches in image-guided surgery (IGS). In this paper, we provide a comprehensive analysis of the current state of MR in image-guided procedures across various surgical domains. Using the Data Visualization View (DVV) Taxonomy, we analyze the progress made since a 2013 literature review paper on ...

Article GUID: 38794834

Author(s): Linte CA; Yaniv Z; Chen E; Dou Q; Drouin S; Kalia M; Kersten-Oertel M; McLeod J; Sarikaya D;

No abstract available

Article GUID: 38638501

Author(s): Najafi N; Addie M; Meterissian S; Kersten-Oertel M;

Breast cancer is one of the most prevalent forms of cancer, affecting approximately one in eight women during their lifetime. Deciding on breast cancer treatment, which includes the choice between surgical options, frequently demands prompt decision-making within an 8-week timeframe. However, many women lack the necessary knowledge and preparation for mak ...

Article GUID: 38638506

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

This study conducts collateral evaluation from ischemic damage using a deep learning-based Siamese network, addressing the challenges associated with a small and imbalanced dataset. The collateral network provides an alternative oxygen and nutrient supply pathway in ischemic stroke cases, influencing treatment decisions. Research in this area focuses on a ...

Article GUID: 38364600

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

Purpose: Collateral evaluation is typically done using visual inspection of cerebral images and thus suffers from intra- and inter-rater variability. Large open databases of ischemic stroke patients are rare, limiting the use of deep learning methods in treatment decision-making.
Methods: We adapted a pre-trained Eff ...

Article GUID: 36635594

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

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

Int J Comput Assist Radiol Surg. 2020 Jul 14;:

Authors: Aktar M, Tampieri D, Rivaz H, Kersten-Oertel M, Xiao Y

Abstract
PURPOSE: Sufficient collateral blood supply is crucial for favorable ou ...

Article GUID: 32662055

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

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 conte ...

Article GUID: 32323206