Keyword search (3,157 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:3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography.
Authors:Mirzaei M,  Asif A,  Fortin M,  Rivaz H
Link:https://www.ncbi.nlm.nih.gov/pubmed/31790861?dopt=Abstract
Category:Ultrasonics
PMID:31790861
Dept Affiliation: PERFORM
1 Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada. Electronic address: m_irzae@ece.concordia.ca.
2 Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada.
3 PERFORM Centre, Concordia University, Montreal, Quebec, Canada.
4 Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada; PERFORM Centre, Concordia University, Montreal, Quebec, Canada.

Description:

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

Ultrasonics. 2019 Nov 09;102:106053

Authors: Mirzaei M, Asif A, Fortin M, Rivaz H

Abstract

This paper introduces a novel technique to estimate tissue displacement in quasi-static elastography. A major challenge in elastography is estimation of displacement (also referred to time-delay estimation) between pre-compressed and post-compressed ultrasound data. Maximizing normalized cross correlation (NCC) of ultrasound radio-frequency (RF) data of the pre- and post-compressed images is a popular technique for strain estimation due to its simplicity and computational efficiency. Several papers have been published to increase the accuracy and quality of displacement estimation based on NCC. All of these methods use 2D spatial windows in RF data to estimate NCC, wherein displacement is assumed to be constant within each window. In this work, we extend this assumption along the third dimension. Two approaches are proposed to get third dimension. In the first approach, we use temporal domain to exploit neighboring samples in both spatial and temporal directions. Considering temporal information is important since traditional and ultrafast ultrasound machines are, respectively, capable of imaging at more than 30 frame per second (fps) and 1000 fps. Another approach is to use time-delayed pre-beam formed data (channel data) instead of RF data. In this method information of all channels that are recorded as pre-beam formed data of each RF line will be considered as 3rd dimension. We call these methods as spatial temporal normalized cross correlation (STNCC) and channel data normalized cross correlation (CNCC) and show that they substantially outperforms NCC using simulation, phantom and in-vivo experiments. Given substantial improvements of results in addition to the relative simplicity of implementing STNCC and CNCC, the proposed approaches can potentially have a large impact in both academic and commercial work on ultrasound elastography.

PMID: 31790861 [PubMed - as supplied by publisher]