Keyword search (3,156 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
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
Association Between Paraspinal Muscle Morphology, Clinical Symptoms, and Functional Status in Patients With Degenerative Cervical Myelopathy.

Author(s): Fortin M, Dobrescu O, Courtemanche M, Sparrey CJ, Santaguida C, Fehlings MG, Weber MH

Spine (Phila Pa 1976). 2017 Feb 15;42(4):232-239 Authors: Fortin M, Dobrescu O, Courtemanche M, Sparrey CJ, Santaguida C, Fehlings MG, Weber MH

Article GUID: 28207658
Relationship between cervical muscle morphology evaluated by MRI, cervical muscle strength and functional outcomes in patients with degenerative cervical myelopathy.

Author(s): Fortin M, Wilk N, Dobrescu O, Martel P, Santaguida C, Weber MH

Musculoskelet Sci Pract. 2018 12;38:1-7 Authors: Fortin M, Wilk N, Dobrescu O, Martel P, Santaguida C, Weber MH

Article GUID: 30059855
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
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
Association between paraspinal muscle morphology, clinical symptoms and functional status in patients with lumbar spinal stenosis.

Author(s): Fortin M, Lazáry À, Varga PP, Battié MC

Eur Spine J. 2017 10;26(10):2543-2551 Authors: Fortin M, Lazáry À, Varga PP, Battié MC

Article GUID: 28748488
Quantitative Magnetic Resonance Imaging Analysis of the Cervical Spine Extensor Muscles: Intrarater and Interrater Reliability of a Novice and an Experienced Rater.

Author(s): Fortin M, Dobrescu O, Jarzem P, Ouellet J, Weber MH

Asian Spine J. 2018 Feb;12(1):94-102 Authors: Fortin M, Dobrescu O, Jarzem P, Ouellet J, Weber MH

Article GUID: 29503688
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
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
Are Magnetic Resonance Imaging Technologies Crucial to Our Understanding of Spinal Conditions?

Author(s): Crawford RJ, Fortin M, Weber KA, Smith A, Elliott JM

J Orthop Sports Phys Ther. 2019 Mar 26;:1-32 Authors: Crawford RJ, Fortin M, Weber KA, Smith A, Elliott JM

Article GUID: 30913967
Title:Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles.
Authors:Xiao Y,  Fortin M,  Battié MC,  Rivaz H
Link:https://www.ncbi.nlm.nih.gov/pubmed/30051147?dopt=Abstract
Category:Eur Spine J
PMID:30051147
Dept Affiliation: PERFORM
1 Robarts Research Institute, Western University, 1151 Richmond Street North, London, ON, N6A 5B7, Canada. yxiao286@uwo.ca.
2 PERFORM Centre, Concordia University, Montreal, Canada.
3 School of Physical Therapy, Western University, London, Canada.
4 Bone and Joint Institute, Western University, London, Canada.
5 Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada.

Description:

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

Eur Spine J. 2018 Oct;27(10):2442-2448

Authors: Xiao Y, Fortin M, Battié MC, Rivaz H

Abstract

PURPOSE: Growing evidence suggests an association between lumbar paraspinal muscle degeneration and low back pain (LBP). Currently, time-consuming and laborious manual segmentations of paraspinal muscles are commonly performed on magnetic resonance imaging (MRI) axial scans. Automated image analysis algorithms can mitigate these drawbacks, but they often require individual MRIs to be aligned to a standard "reference" atlas. Such atlases are well established in automated neuroimaging analysis. Our aim was to create atlases of similar nature for automated paraspinal muscle measurements.

METHODS: Lumbosacral T2-weighted MRIs were acquired from 117 patients who experienced LBP, stratified by gender and age group (30-39, 40-49, and 50-59 years old). Axial MRI slices of the L4-L5 and L5-S1 levels at mid-disc were obtained and aligned using group-wise linear and nonlinear image registration to produce a set of unbiased population-averaged atlases for lumbar paraspinal muscles.

RESULTS: The resulting atlases represent the averaged morphology and MRI intensity features of the corresponding cohorts. Differences in paraspinal muscle shapes and fat infiltration levels with respect to gender and age can be visually identified from the population-averaged data from both linear and nonlinear registrations.

CONCLUSION: We constructed a set of population-averaged atlases for developing automated algorithms to help analyze paraspinal muscle morphometry from axial MRI scans. Such an advancement could greatly benefit the fields of paraspinal muscle and LBP research. These slides can be retrieved under Electronic Supplementary Material.

PMID: 30051147 [PubMed - in process]