Keyword search (3,174 papers available)


Seasonal Changes in Lumbar Multifidus Muscle in University Rugby Players.

Author(s): Roy A, Rivaz H, Rizk A, Frenette S, Boily M, Fortin M

PURPOSE: Although smaller lumbar multifidus muscle (LMM) was reported to be a strong predictor of lower limb injury (LLI) in Australian Football League (AFL) players, LMM morphology has not been investigated in rugby athletes. This study examined seasonal c...

Article GUID: 32925493
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
Improving 3D ultrasound prostate localisation in radiotherapy through increased automation of interfraction matching.

Author(s): Grimwood A, Rivaz H, Zhou H, McNair HA, Yakubowski K, Bamber JC, Tree AC, Harris EJ

Radiother Oncol. 2020 May 06;: Authors: Grimwood A, Rivaz H, Zhou H, McNair HA, Yakubowski K, Bamber JC, Tree AC, Harris EJ

Article GUID: 32387546
The effect of low back pain and lower limb injury on lumbar multifidus muscle morphology and function in university soccer players.

Author(s): Nandlall N, Rivaz H, Rizk A, Frenette S, Boily M, Fortin M

BMC Musculoskelet Disord. 2020 Feb 12;21(1):96 Authors: Nandlall N, Rivaz H, Rizk A, Frenette S, Boily M, Fortin M

Article GUID: 32050966
3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography.

Author(s): Mirzaei M, Asif A, Fortin M, Rivaz H

Ultrasonics. 2019 Nov 09;102:106053 Authors: Mirzaei M, Asif A, Fortin M, Rivaz H

Article GUID: 31790861
Nonlocal Coherent Denoising of RF Data for Ultrasound Elastography.

Author(s): Khavari P, Asif A, Boily M, Rivaz H

J Healthc Eng. 2018;2018:7979528 Authors: Khavari P, Asif A, Boily M, Rivaz H

Article GUID: 30034676
Ultrasound Elastography of the Prostate Using an Unconstrained Modulus Reconstruction Technique: A Pilot Clinical Study.

Author(s): Mousavi SR, Rivaz H, Czarnota GJ, Samani A, Sadeghi-Naini A

Transl Oncol. 2017 Oct;10(5):744-751 Authors: Mousavi SR, Rivaz H, Czarnota GJ, Samani A, Sadeghi-Naini A

Article GUID: 28735201
Corrigendum to "Ultrasonography of multifidus muscle morphology and function in ice hockey players with and without low back pain" [Physical Therapy in Sport 37 (2019) 77-85].

Author(s): Fortin M, Rizk A, Frenette S, Boily M, Rivaz H

Phys Ther Sport. 2019 Apr 17;38:16 Authors: Fortin M, Rizk A, Frenette S, Boily M, Rivaz H PMID: 31005031 [PubMed - as supplied by publisher]

Article GUID: 31005031
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
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
Evaluation of an automated thresholding algorithm for the quantification of paraspinal muscle composition from MRI images.

Author(s): Fortin M, Omidyeganeh M, Battié MC, Ahmad O, Rivaz H

Biomed Eng Online. 2017 May 22;16(1):61 Authors: Fortin M, Omidyeganeh M, Battié MC, Ahmad O, Rivaz H

Article GUID: 28532491
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
Ultrasonography of multifidus muscle morphology and function in ice hockey players with and without low back pain.

Author(s): Fortin M, Rizk A, Frenette S, Boily M, Rivaz H

Phys Ther Sport. 2019 Mar 13;37:77-85 Authors: Fortin M, Rizk A, Frenette S, Boily M, Rivaz H

Article GUID: 30897493
Title:Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery.
Authors:Rivaz H,  Collins DL
Link:https://www.ncbi.nlm.nih.gov/pubmed/25373447?dopt=Abstract
Category:Int J Comput Assist Radiol Surg
PMID:25373447
Dept Affiliation: PERFORM
1 PERFORM Centre, Department of Electrical and Computer Engineering, Concordia University, 1455 Maisonneuve West, Montreal, QC, H3G 1M8, Canada, hrivaz@ece.concordia.ca.

Description:

Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery.

Int J Comput Assist Radiol Surg. 2015 Jul;10(7):1017-28

Authors: Rivaz H, Collins DL

Abstract

PURPOSE: Sites that use ultrasound (US) in image-guided neurosurgery (IGNS) of brain tumors generally have three sets of imaging data: preoperative magnetic resonance (MR) image, pre-resection US, and post-resection US. The MR image is usually acquired days before the surgery, the pre-resection US is obtained after the craniotomy but before the resection, and finally, the post-resection US scan is performed after the resection of the tumor. The craniotomy and tumor resection both cause brain deformation, which significantly reduces the accuracy of the MR-US alignment.

METHOD: Three unknown transformations exist between the three sets of imaging data: MR to pre-resection US, pre- to post-resection US, and MR to post-resection US. We use two algorithms that we have recently developed to perform the first two registrations (i.e., MR to pre-resection US and pre- to post-resection US). Regarding the third registration (MR to post-resection US), we evaluate three strategies. The first method performs a registration between the MR and pre-resection US, and another registration between the pre- and post-resection US. It then composes the two transformations to register MR and post-resection US; we call this method compositional registration. The second method ignores the pre-resection US and directly registers the MR and post-resection US; we refer to this method as direct registration. The third method is a combination of the first and second: it uses the solution of the compositional registration as an initial solution for the direct registration method. We call this method group-wise registration.

RESULTS: We use data from 13 patients provided in the MNI BITE database for all of our analysis. Registration of MR and pre-resection US reduces the average of the mean target registration error (mTRE) from 4.1 to 2.4 mm. Registration of pre- and post-resection US reduces the average mTRE from 3.7 to 1.5 mm. Regarding the registration of MR and post-resection US, all three strategies reduce the mTRE. The initial average mTRE is 5.9 mm, which reduces to 3.3 mm with the compositional method, 2.9 mm with the direct technique, and 2.8 mm with the group-wise method.

CONCLUSION: Deformable registration of MR and pre- and post-resection US images significantly improves their alignment. Among the three methods proposed for registering the MR to post-resection US, the group-wise method gives the lowest TRE values. Since the running time of all registration algorithms is less than 2 min on one core of a CPU, they can be integrated into IGNS systems for interactive use during surgery.

PMID: 25373447 [PubMed - indexed for MEDLINE]