Keyword search (4,163 papers available)

"Rivaz H" Authored Publications:

Title Authors PubMed ID
1 Characterizing forearm skeletal muscle composition and function in breast cancer-related lymphedema using B-mode ultrasonography Whyte J; Towers A; Boily M; Rosenthall L; Rivaz H; Kilgour RD; 41674486
PERFORM
2 Statistical shape model-based estimation of registration error in computer-assisted total knee arthroplasty Gheflati B; Mirzaei M; Zuhars J; Rottoo S; Rivaz H; 41495592
ENCS
3 MedCLIP-SAMv2: Towards universal text-driven medical image segmentation Koleilat T; Asgariandehkordi H; Rivaz H; Xiao Y; 40779830
ENCS
4 Joint enhancement of automatic chest x-ray diagnosis and radiological gaze prediction with multistage cooperative learning Qiu Z; Rivaz H; Xiao Y; 40665596
ENCS
5 Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations Gharamaleki SK; Helfield B; Rivaz H; 40640235
PHYSICS
6 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
7 CASCADE-FSL: Few-shot learning for collateral evaluation in ischemic stroke Aktar M; Tampieri D; Xiao Y; Rivaz H; Kersten-Oertel M; 40250214
ENCS
8 Leveraging deep learning for nonlinear shape representation in anatomically parameterized statistical shape models Gheflati B; Mirzaei M; Rottoo S; Rivaz H; 39953355
ENCS
9 Open access segmentations of intraoperative brain tumor ultrasound images Behboodi B; Carton FX; Chabanas M; de Ribaupierre S; Solheim O; Munkvold BKR; Rivaz H; Xiao Y; Reinertsen I; 39047165
SOH
10 Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening Karatzas N; Abdelnour P; Corban JPAH; Zhao KY; Veilleux LN; Bergeron SG; Fevens T; Rivaz H; Babouras A; Martineau PA; 38544237
PERFORM
11 SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage Aktar M; Xiao Y; Tehrani AKZ; Tampieri D; Rivaz H; Kersten-Oertel M; 38364600
ENCS
12 On the soft tissue ultrasound elastography using FEM based inversion approach Eshaghinia SS; Taghvaeipour A; Aghdam MM; Rivaz H; 38240143
ENCS
13 Bayesian workflow for the investigation of hierarchical classification models from tau-PET and structural MRI data across the Alzheimer's disease spectrum Belasso CJ; Cai Z; Bezgin G; Pascoal T; Stevenson J; Rahmouni N; Tissot C; Lussier F; Rosa-Neto P; Soucy JP; Rivaz H; Benali H; 37920382
PERFORM
14 Deep learning for collateral evaluation in ischemic stroke with imbalanced data Aktar M; Reyes J; Tampieri D; Rivaz H; Xiao Y; Kersten-Oertel M; 36635594
ENCS
15 Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection Pirhadi A; Salari S; Ahmad MO; Rivaz H; Xiao Y; 36306056
PERFORM
16 DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR Masoumi N; Rivaz H; Ahmad MO; Xiao Y; 36173541
ENCS
17 Deep reconstruction of high-quality ultrasound images from raw plane-wave data: A simulation and in vivo study Goudarzi S; Rivaz H; 35728310
ENCS
18 Statistical morphological analysis reveals characteristic paraspinal muscle asymmetry in unilateral lumbar disc herniation Xiao Y; Fortin M; Ahn J; Rivaz H; Peters TM; Battié MC; 34341427
PERFORM
19 Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms Masoumi N; Belasso CJ; Ahmad MO; Benali H; Xiao Y; Rivaz H; 33683544
PERFORM
20 LUMINOUS database: lumbar multifidus muscle segmentation from ultrasound images Belasso CJ; Behboodi B; Benali H; Boily M; Rivaz H; Fortin M; 33097024
PERFORM
21 Lumbar Multifidus Muscle Characteristics, Body Composition, and Injury in University Rugby Players Lévesque J; Rivaz H; Rizk A; Frenette S; Boily M; Fortin M; 32997748
PERFORM
22 Seasonal Changes in Lumbar Multifidus Muscle in University Rugby Players. Roy A, Rivaz H, Rizk A, Frenette S, Boily M, Fortin M 32925493
PERFORM
23 Automatic collateral circulation scoring in ischemic stroke using 4D CT angiography with low-rank and sparse matrix decomposition. Aktar M, Tampieri D, Rivaz H, Kersten-Oertel M, Xiao Y 32662055
ENCS
24 Improving 3D ultrasound prostate localisation in radiotherapy through increased automation of interfraction matching. Grimwood A, Rivaz H, Zhou H, McNair HA, Yakubowski K, Bamber JC, Tree AC, Harris EJ 32387546
PHYSICS
25 Two-stage ultrasound image segmentation using U-Net and test time augmentation. Amiri M; Brooks R; Behboodi B; Rivaz H; 32350786
IMAGING
26 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
27 Ultrasonography of Lumbar Multifidus Muscle in University American Football Players. Schryver A; Rivaz H; Rizk A; Frenette S; Boily M; Fortin M; 32028457
PERFORM
28 3D normalized cross-correlation for estimation of the displacement field in ultrasound elastography. Mirzaei M, Asif A, Fortin M, Rivaz H 31790861
PERFORM
29 Nonlocal Coherent Denoising of RF Data for Ultrasound Elastography. Khavari P, Asif A, Boily M, Rivaz H 30034676
ENCS
30 Ultrasound Elastography of the Prostate Using an Unconstrained Modulus Reconstruction Technique: A Pilot Clinical Study. Mousavi SR, Rivaz H, Czarnota GJ, Samani A, Sadeghi-Naini A 28735201
PERFORM
31 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]. Fortin M, Rizk A, Frenette S, Boily M, Rivaz H 31005031
PERFORM
32 Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery. Rivaz H, Collins DL 25373447
PERFORM
33 REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries. Xiao Y, Fortin M, Unsgård G, Rivaz H, Reinertsen I 28391601
PERFORM
34 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
35 Multimodal 18F-Fluciclovine PET/MRI and Ultrasound-Guided Neurosurgery of an Anaplastic Oligodendroglioma. 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 28844925
PERFORM
36 Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Xiao Y, Eikenes L, Reinertsen I, Rivaz H 29299739
PERFORM
37 Intra-operative Video Characterization of Carotid Artery Pulsation Patterns in Case Series with Post-endarterectomy Hypertension and Hyperperfusion Syndrome. Xiao Y, Rivaz H, Kasuya H, Yokosako S, Mindru C, Teitelbaum J, Sirhan D, Sinclair D, Angle M, Lo BWY 29322480
PERFORM
38 Correction to: Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Xiao Y, Eikenes L, Reinertsen I, Rivaz H 29392538
PERFORM
39 High-Dynamic-Range Ultrasound: Application for Imaging Tendon Pathology. Xiao Y, Boily M, Hashemi HS, Rivaz H 29628224
PERFORM
40 Population-averaged MRI atlases for automated image processing and assessments of lumbar paraspinal muscles. Xiao Y, Fortin M, Battié MC, Rivaz H 30051147
PERFORM
41 ARENA: Inter-modality affine registration using evolutionary strategy. Masoumi N, Xiao Y, Rivaz H 30535826
PERFORM
42 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 YFortin MBattié MCRivaz 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 processingLumbar paraspinal musclesMRI atlasMeasurementMultifidus
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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