Reset filters

Search publications


Search by keyword
List by department / centre / faculty

No publications found.

 

Design, manufacturing, and multi-modal imaging of stereolithography 3D printed flexible intracranial aneurysm phantoms

Author(s): Yalman A; Jafari A; Léger É; Mastroianni MA; Teimouri K; Savoji H; Collins DL; Kadem L; Xiao Y;

Background: Physical vascular phantoms are instrumental in studying intracranial aneurysms and testing relevant imaging tools and training systems to provide improved clinical care. Current vascular phantom production methods have major limitations in capturing the biophysical and morphological c ...

Article GUID: 39546636


Expanding a Behavioral View on Digital Health Access: Drivers and Strategies to Promote Equity

Author(s): Kepper MM; Fowler LA; Kusters IS; Davis JW; Baqer M; Sagui-Henson S; Xiao Y; Tarfa A; Yi JC; Gibson B; Heron KE; Alberts NM; Burgermaster M; Njie-Carr VP; Klesges LM;

The potential and threat of digital tools to achieve health equity has been highlighted for over a decade, but the success of achieving equitable access to health technologies remains challenging. Our paper addresses renewed concerns regarding equity in digital health access that were deepened du ...

Article GUID: 39088246


Open access segmentations of intraoperative brain tumor ultrasound images

Author(s): Behboodi B; Carton FX; Chabanas M; de Ribaupierre S; Solheim O; Munkvold BKR; Rivaz H; Xiao Y; Reinertsen I;

Purpose: Registration and segmentation of magnetic resonance (MR) and ultrasound (US) images could play an essential role in surgical planning and resectioning brain tumors. However, validating these techniques is challenging due to the scarcity of publicly accessible sources with high-quality gr ...

Article GUID: 39047165


Virtual and Augmented Reality in Ventriculostomy: A Systematic Review

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


SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage

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


PILLAR: ParaspInaL muscLe segmentAtion pRoject - a comprehensive online resource to guide manual segmentation of paraspinal muscles from magnetic resonance imaging

Author(s): Anstruther M; Rossini B; Zhang T; Liang T; Xiao Y; Fortin M;

Background: There is an increasing interest in assessing paraspinal morphology and composition in relation to low back pain (LBP). However, variations in methods and segmentation protocols contribute to the inconsistent findings in the literature. We present an on-line resource, the ParaspInaL muscLe segmentAtion pRoject (PILLAR, https://projectpillar.git ...

Article GUID: 37996857


A population-averaged structural connectomic brain atlas dataset from 422 HCP-aging subjects

Author(s): Xiao Y; Gilmore G; Kai J; Lau JC; Peters T; Khan AR;

Population-averaged brain atlases, that are represented in a standard space with anatomical labels, are instrumental tools in neurosurgical planning and the study of neurodegenerative conditions. Traditional brain atlases are primarily derived from anatomical scans and contain limited information regarding the axonal organization of the white matter. With ...

Article GUID: 37663773


A dataset of multi-contrast unbiased average MRI templates of a Parkinson's disease population

Author(s): Madge V; Fonov VS; Xiao Y; Zou L; Jackson C; Postuma RB; Dagher A; Fon EA; Collins DL;

Parkinson's disease (PD) is a complex neurodegenerative disorder affecting regions such as the substantia nigra (SN), red nucleus (RN) and locus coeruleus (LC). Processing MRI data from patients with PD requires anatomical structural references for spatial normalization and structural segmentation. Extending our previous work, we present multi-contras ...

Article GUID: 37213552


Deep learning for collateral evaluation in ischemic stroke with imbalanced data

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


Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection

Author(s): Pirhadi A; Salari S; Ahmad MO; Rivaz H; Xiao Y;

Purpose: In brain tumor surgery, tissue shift (called brain shift) can move the surgical target and invalidate the surgical plan. A cost-effective and flexible tool, intra-operative ultrasound (iUS) with robust image registration algorithms can effectively track brain shift to ensure surgical outcomes and safety. Methods: We proposed to employ a Siamese ...

Article GUID: 36306056


DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR

Author(s): Masoumi N; Rivaz H; Ahmad MO; Xiao Y;

Purpose: Diffeomorphic image registration is essential in many medical imaging applications. Several registration algorithms of such type have been proposed, but primarily for intra-contrast alignment. Currently, efficient inter-modal/contrast diffeomorphic registration, which is vital in numerous applications, remains a challenging task. Methods: We pro ...

Article GUID: 36173541


-   Page 1 / 3   >