Keyword search (3,173 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:Evaluation of an automated thresholding algorithm for the quantification of paraspinal muscle composition from MRI images.
Authors:Fortin M,  Omidyeganeh M,  Battié MC,  Ahmad O,  Rivaz H
Link:https://www.ncbi.nlm.nih.gov/pubmed/28532491?dopt=Abstract
Category:Biomed Eng Online
PMID:28532491
Dept Affiliation: PERFORM
1 PERFORM Centre, Concordia University, 7200 Sherbrooke W, Montreal, QC, H4B 1R6, Canada.
2 Department of Electrical Engineering, Engineering, Computer Science and Visual Arts Integrated Complex, Concordia University, 1515 Ste-Catherine W. Street, Montreal, QC, H3G 2W1, Canada.
3 Common Spinal Disorders Research Group, Faculty of Rehabilitation Medicine University of Alberta, 8205-114 Street, Edmonton, AB, T6G 2G4, Canada.
4 PERFORM Centre, Concordia University, 7200 Sherbrooke W, Montreal, QC, H4B 1R6, Canada. hrivaz@ece.concordia.ca.
5 Department of Electrical Engineering, Engineering, Computer Science and Visual Arts Integrated Complex, Concordia University, 1515 Ste-Catherine W. Street, Montreal, QC, H3G 2W1, Canada. hrivaz@ece.concordia.ca.

Description:

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

Biomed Eng Online. 2017 May 22;16(1):61

Authors: Fortin M, Omidyeganeh M, Battié MC, Ahmad O, Rivaz H

Abstract

BACKGROUND: The imaging assessment of paraspinal muscle morphology and fatty infiltration has gained considerable attention in the past decades, with reports suggesting an association between muscle degenerative changes and low back pain (LBP). To date, qualitative and quantitative approaches have been used to assess paraspinal muscle composition. Though highly reliable, manual thresholding techniques are time consuming and not always feasible in a clinical setting. The tedious and rater-dependent nature of such manual thresholding techniques provides the impetus for the development of automated or semi-automated segmentation methods. The purpose of the present study was to develop and evaluate an automated thresholding algorithm for the assessment of paraspinal muscle composition. The reliability and validity of the muscle measurements using the new automated thresholding algorithm were investigated through repeated measurements and comparison with measurements from an established, highly reliable manual thresholding technique.

METHODS: Magnetic resonance images of 30 patients with LBP were randomly selected cohort of patients participating in a project on commonly diagnosed lumbar pathologies in patients attending spine surgeon clinics. A series of T2-weighted MR images were used to train the algorithm; preprocessing techniques including adaptive histogram equalization method image adjustment scheme were used to enhance the quality and contrast of the images. All muscle measurements were repeated twice using a manual thresholding technique and the novel automated thresholding algorithm, from axial T2-weigthed images, at least 5 days apart. The rater was blinded to all earlier measurements. Inter-method agreement and intra-rater reliability for each measurement method were assessed. The study did not received external funding and the authors have no disclosures.

RESULTS: There was excellent agreement between the two methods with inter-method reliability coefficients (intraclass correlation coefficients) varying from 0.79 to 0.99. Bland and Altman plots further confirmed the agreement between the two methods. Intra-rater reliability and standard error of measurements were comparable between methods, with reliability coefficient varying between 0.95 and 0.99 for the manual thresholding and 0.97-0.99 for the automated algorithm.

CONCLUSION: The proposed automated thresholding algorithm to assess paraspinal muscle size and composition measurements was highly reliable, with excellent agreement with the reference manual thresholding method.

PMID: 28532491 [PubMed - indexed for MEDLINE]