Keyword search (3,171 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
Two-stage ultrasound image segmentation using U-Net and test time augmentation.

Author(s): Amiri M; Brooks R; Behboodi B; Rivaz H;

PURPOSE: Detecting breast lesions using ultrasound imaging is an important application of computer-aided diagnosis systems. Several automatic methods have been proposed for breast lesion detection and segmentation; however, due to the ultrasound artefacts, ...

Article GUID: 32350786
MARIN: an open-source mobile augmented reality interactive neuronavigation system.

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 pro...

Article GUID: 32323206
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
Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery.

Author(s): Rivaz H, Collins DL

Int J Comput Assist Radiol Surg. 2015 Jul;10(7):1017-28 Authors: Rivaz H, Collins DL

Article GUID: 25373447
Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection.

Author(s): Xiao Y, Eikenes L, Reinertsen I, Rivaz H

Int J Comput Assist Radiol Surg. 2018 Mar;13(3):457-467 Authors: Xiao Y, Eikenes L, Reinertsen I, Rivaz H

Article GUID: 29299739
Correction to: Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection.

Author(s): Xiao Y, Eikenes L, Reinertsen I, Rivaz H

Int J Comput Assist Radiol Surg. 2018 03;13(3):469 Authors: Xiao Y, Eikenes L, Reinertsen I, Rivaz H

Article GUID: 29392538
ARENA: Inter-modality affine registration using evolutionary strategy.

Author(s): Masoumi N, Xiao Y, Rivaz H

Int J Comput Assist Radiol Surg. 2019 Mar;14(3):441-450 Authors: Masoumi N, Xiao Y, Rivaz H

Article GUID: 30535826
Title:ARENA: Inter-modality affine registration using evolutionary strategy.
Authors:Masoumi N,  Xiao Y,  Rivaz H
Link:https://www.ncbi.nlm.nih.gov/pubmed/30535826?dopt=Abstract
Category:Int J Comput Assist Radiol Surg
PMID:30535826
Dept Affiliation: PERFORM
1 PERFORM Centre, Concordia University, Montreal, Canada. n_masoum@encs.concordia.ca.
2 Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada. n_masoum@encs.concordia.ca.
3 Robarts Research Institute, Western University, London, Canada.
4 PERFORM Centre, Concordia University, Montreal, Canada.
5 Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada.

Description:

ARENA: Inter-modality affine registration using evolutionary strategy.

Int J Comput Assist Radiol Surg. 2019 Mar;14(3):441-450

Authors: Masoumi N, Xiao Y, Rivaz H

Abstract

PURPOSE: Image fusion of different imaging modalities renders valuable information to clinicians. In this paper, we proposed an automatic multimodal registration method to register intra-operative ultrasound images (US) to preoperative magnetic resonance images (MRI) in the context of image-guided neurosurgery.

METHODS: We employed refined correlation ratio as a similarity metric for our intensity-based image registration method. We deem MRI as the fixed image ([Formula: see text]) and US as the moving image ([Formula: see text]) and then transform [Formula: see text] to align with [Formula: see text]. We utilized the covariance matrix adaptation evolutionary strategy to find the optimal affine transformation in registration of [Formula: see text] to [Formula: see text].

RESULTS: We applied our method on the publicly available retrospective evaluation of cerebral tumors (RESECT) database and Montreal Neurological Institute's brain images of tumors for evaluation (BITE) database. We validated the results qualitatively and quantitatively. Qualitative validation is conducted (by the three authors) through overlaying pre- and post-registration US and MRI to allow visual assessment of the alignment. Quantitative validation is performed by utilizing the corresponding landmarks in the databases for the preoperative MRI and the intra-operative US. Average mean target registration error (mTRE) has been reduced from [Formula: see text] to [Formula: see text] in 22 patients in the RESECT database and from [Formula: see text] to [Formula: see text] in the BITE database. A nonparametric statistical analysis performed using the Wilcoxon rank sum test shows that there is a significant difference between pre- and post-registration mTREs with a p value of [Formula: see text] for the RESECT database and [Formula: see text] for the BITE database.

CONCLUSIONS: The proposed fully automatic registration method significantly improved the alignment of MRI and US images and can therefore be used to reduce the misalignment of US and MRI caused by brain shift, calibration errors, and patient to MRI transformation matrix.

PMID: 30535826 [PubMed - in process]