Keyword search (3,160 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
REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries.

Author(s): Xiao Y, Fortin M, Unsgård G, Rivaz H, Reinertsen I

Med Phys. 2017 Jul;44(7):3875-3882 Authors: Xiao Y, Fortin M, Unsgård G, Rivaz H, Reinertsen I

Article GUID: 28391601
A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort.

Author(s): Xiao Y, Fonov V, Chakravarty MM, Beriault S, Al Subaie F, Sadikot A, Pike GB, Bertrand G, Collins DL

Data Brief. 2017 Jun;12:370-379 Authors: Xiao Y, Fonov V, Chakravarty MM, Beriault S, Al Subaie F, Sadikot A, Pike GB, Bertrand G, Collins DL

Article GUID: 28491942
Multimodal 18F-Fluciclovine PET/MRI and Ultrasound-Guided Neurosurgery of an Anaplastic Oligodendroglioma.

Author(s): Karlberg A, Berntsen EM, Johansen H, Myrthue M, Skjulsvik AJ, Reinertsen I, Esmaeili M, Dai HY, Xiao Y, Rivaz H, Borghammer P, Solheim O, Eikenes L

World Neurosurg. 2017 Dec;108:989.e1-989.e8 Authors: Karlberg A, Berntsen EM, Johansen H, Myrthue M, Skjulsvik AJ, Reinertsen I, Esmaeili M, Dai HY, Xiao Y, Rivaz H, Borghammer P, Solheim O, Eikenes L

Article GUID: 28844925
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
Intra-operative Video Characterization of Carotid Artery Pulsation Patterns in Case Series with Post-endarterectomy Hypertension and Hyperperfusion Syndrome.

Author(s): Xiao Y, Rivaz H, Kasuya H, Yokosako S, Mindru C, Teitelbaum J, Sirhan D, Sinclair D, Angle M, Lo BWY

Transl Stroke Res. 2018 10;9(5):452-458 Authors: Xiao Y, Rivaz H, Kasuya H, Yokosako S, Mindru C, Teitelbaum J, Sirhan D, Sinclair D, Angle M, Lo BWY

Article GUID: 29322480
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
High-Dynamic-Range Ultrasound: Application for Imaging Tendon Pathology.

Author(s): Xiao Y, Boily M, Hashemi HS, Rivaz H

Ultrasound Med Biol. 2018 07;44(7):1525-1532 Authors: Xiao Y, Boily M, Hashemi HS, Rivaz H

Article GUID: 29628224
Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles.

Author(s): Xiao Y, Fortin M, Battié MC, Rivaz H

Eur Spine J. 2018 Oct;27(10):2442-2448 Authors: Xiao Y, Fortin M, Battié MC, Rivaz H

Article GUID: 30051147
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]