PERFORM Publications

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Title		Authors	PubMed ID
1	The Effect of a 10-Week Electromyostimulation Intervention with the StimaWELL 120MTRS System on Multifidus Morphology and Function in Chronic Low Back Pain Patients: A Randomized Controlled Trial	Wolfe D; Rosenstein B; Dover G; Boily M; Fortin M;	41283552 SOH
2	Ultrasound and MRI-based evaluation of relationships between morphological and mechanical properties of the lower lumbar multifidus muscle in chronic low back pain	Naghdi N; Masi S; Bertrand C; Rosenstein B; Cohen-Adad J; Rivaz H; Roy M; Fortin M;	40488869 HKAP
3	Relationship Between Lumbar Multifidus Morphometry and Pain/Disability in Individuals With Chronic Nonspecific Low Back Pain After Considering Demographics, Fear-Avoidance Beliefs, Insomnia, and Spinal Degenerative Changes	Pinto SM; Cheung JPY; Samartzis D; Karppinen J; Zheng YP; Pang MYC; Fortin M; Wong AYL;	40376565 SOH
4	The Immediate Effect of a Single Treatment of Neuromuscular Electrical Stimulation with the StimaWELL 120MTRS System on Multifidus Stiffness in Patients with Chronic Low Back Pain	Wolfe D; Dover G; Boily M; Fortin M;	39594260 SOH
5	The effects of a 12-week combined motor control exercise and isolated lumbar extension intervention on lumbar multifidus muscle stiffness in individuals with chronic low back pain	Tornblom A; Naghdi N; Rye M; Montpetit C; Fortin M;	39258113 SOH
6	Ultrasonography of the multifidus muscle in student circus artists with and without low back pain: a cross-sectional study	Bianca Rossini	37029443 PERFORM
7	Comparison of paraspinal muscle composition measurements using IDEAL fat-water and T2-weighted MR images	Sara Masi	36997912 PERFORM
8	The effect of phasic versus combined neuromuscular electrical stimulation using the StimaWELL 120MTRS system on multifidus muscle morphology and function in patients with chronic low back pain: a randomized controlled trial protocol	Fortin M; Wolfe D; Dover G; Boily M;	35773711 PERFORM
9	Paraspinal muscle imaging measurements for common spinal disorders: review and consensus-based recommendations from the ISSLS degenerative spinal phenotypes group	Hodges PW; Bailey JF; Fortin M; Battié MC;	34542672 HKAP
10	Lumbar Multifidus Muscle Morphology Changes in Patient with Different Degrees of Lumbar Disc Herniation: An Ultrasonographic Study	Naghdi N; Mohseni-Bandpei MA; Taghipour M; Rahmani N;	34356981 HKAP
11	Ultrasound Imaging Analysis of the Lumbar Multifidus Muscle Echo Intensity: Intra-Rater and Inter-Rater Reliability of a Novice and an Experienced Rater	Fortin M; Rosenstein B; Levesque J; Nandlall N;	34065340 PERFORM
12	The effects of combined motor control and isolated extensor strengthening versus general exercise on paraspinal muscle morphology and function in patients with chronic low back pain: a randomised controlled trial protocol	Fortin M; Rye M; Roussac A; Naghdi N; Macedo LG; Dover G; Elliott JM; DeMont R; Weber MH; Pepin V;	34022854 PERFORM
13	LUMINOUS database: lumbar multifidus muscle segmentation from ultrasound images	Belasso CJ; Behboodi B; Benali H; Boily M; Rivaz H; Fortin M;	33097024 PERFORM
14	The effect of low back pain and lower limb injury on lumbar multifidus muscle morphology and function in university soccer players.	Nandlall N, Rivaz H, Rizk A, Frenette S, Boily M, Fortin M	32050966 PERFORM
15	Evaluation of an automated thresholding algorithm for the quantification of paraspinal muscle composition from MRI images.	Fortin M, Omidyeganeh M, Battié MC, Ahmad O, Rivaz H	28532491 PERFORM
16	Association between paraspinal muscle morphology, clinical symptoms and functional status in patients with lumbar spinal stenosis.	Fortin M, Lazáry À, Varga PP, Battié MC	28748488 PERFORM
17	Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles.	Xiao Y, Fortin M, Battié MC, Rivaz H	30051147 PERFORM
18	Ultrasonography of multifidus muscle morphology and function in ice hockey players with and without low back pain.	Fortin M, Rizk A, Frenette S, Boily M, Rivaz H	30897493 PERFORM

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
DOI:	10.1007/s00586-018-5704-z
Publication:	European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Keywords:	Image processing; Lumbar paraspinal muscles; MRI atlas; Measurement; Multifidus;
PMID:	30051147	Category:	Eur Spine J	Date Added:	2019-04-15
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]

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