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Concordia Publications:

Title Authors PubMed ID
1 Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data Thölke P; Mantilla-Ramos YJ; Abdelhedi H; Maschke C; Dehgan A; Harel Y; Kemtur A; Mekki Berrada L; Sahraoui M; Young T; Bellemare Pépin A; El Khantour C; Landry M; Pascarella A; Hadid V; Combrisson E; O' Byrne J; Jerbi K; 37385392
IMAGING
2 A dataset of multi-contrast unbiased average MRI templates of a Parkinson's disease population Madge V; Fonov VS; Xiao Y; Zou L; Jackson C; Postuma RB; Dagher A; Fon EA; Collins DL; 37213552
IMAGING
3 Primary and Secondary Progressive Aphasia in Posterior Cortical Atrophy Brodeur C; Belley É; Deschênes LM; Enriquez-Rosas A; Hubert M; Guimond A; Bilodeau J; Soucy JP; Macoir J; 35629330
IMAGING
4 Associations of the BDNF Val66Met Polymorphism With Body Composition, Cardiometabolic Risk Factors, and Energy Intake in Youth With Obesity: Findings From the HEARTY Study Goldfield GS; Walsh J; Sigal RJ; Kenny GP; Hadjiyannakis S; De Lisio M; Ngu M; Prud' homme D; Alberga AS; Doucette S; Goldfield DB; Cameron JD; 34867148
IMAGING
5 The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging Paquola C; Royer J; Lewis LB; Lepage C; Glatard T; Wagstyl K; DeKraker J; Toussaint PJ; Valk SL; Collins DL; Khan A; Amunts K; Evans AC; Dickscheid T; Bernhardt BC; 34431476
IMAGING
6 Lateral Position-Dependent Velocity Estimation Error in Plane-Wave Doppler Ultrasound Systems Wei L; Williams R; Loupas T; Helfield B; Burns PN; 34006440
IMAGING
7 Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection Safiabadi Tali SH; LeBlanc JJ; Sadiq Z; Oyewunmi OD; Camargo C; Nikpour B; Armanfard N; Sagan SM; Jahanshahi-Anbuhi S; 33980687
IMAGING
8 Comparing perturbation models for evaluating stability of neuroimaging pipelines. Kiar G, de Oliveira Castro P, Rioux P, Petit E, Brown ST, Evans AC, Glatard T 32831546
IMAGING
9 Two-stage ultrasound image segmentation using U-Net and test time augmentation. Amiri M; Brooks R; Behboodi B; Rivaz H; 32350786
IMAGING
10 BOLD signal physiology: Models and applications. Gauthier CJ, Fan AP 29544818
IMAGING
11 Exploring the alpha desynchronization hypothesis in resting state networks with intracranial electroencephalography and wiring cost estimates. Gómez-Ramírez J, Freedman S, Mateos D, Pérez Velázquez JL, Valiante TA 29142213
IMAGING
12 Dance and music share gray matter structural correlates. Karpati FJ, Giacosa C, Foster NEV, Penhune VB, Hyde KL 27923638
IMAGING
13 Cyberinfrastructure for Open Science at the Montreal Neurological Institute. Das S, Glatard T, Rogers C, Saigle J, Paiva S, MacIntyre L, Safi-Harab M, Rousseau ME, Stirling J, Khalili-Mahani N, MacFarlane D, Kostopoulos P, Rioux P, Madjar C, Lecours-Boucher X, Vanamala S, Adalat R, Mohaddes Z, Fonov VS, Milot S, Leppert I, Degroot C, Durcan TM, Campbell T, Moreau J, Dagher A, Collins DL, Karamchandani J, Bar-Or A, Fon EA, Hoge R, Baillet S, Rouleau G, Evans AC 28111547
IMAGING
14 Best practices in data analysis and sharing in neuroimaging using MRI. Nichols TE, Das S, Eickhoff SB, Evans AC, Glatard T, Hanke M, Kriegeskorte N, Milham MP, Poldrack RA, Poline JB, Proal E, Thirion B, Van Essen DC, White T, Yeo BT 28230846
IMAGING
15 Neuroimaging tests for clinical psychiatry: Are we there yet? Leyton M, Kennedy SH 28639935
IMAGING
16 Experimental Investigation of Left Ventricular Flow Patterns After Percutaneous Edge-to-Edge Mitral Valve Repair. Jeyhani M, Shahriari S, Labrosse M 29168199
IMAGING
17 The first MICCAI challenge on PET tumor segmentation. Hatt M, Laurent B, Ouahabi A, Fayad H, Tan S, Li L, Lu W, Jaouen V, Tauber C, Czakon J, Drapejkowski F, Dyrka W, Camarasu-Pop S, Cervenansky F, Girard P, Glatard T, Kain M, Yao Y, Barillot C, Kirov A, Visvikis D 29268169
IMAGING
18 Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy video. Ghosh T, Fattah SA, Wahid KA, Zhu WP, Ahmad MO 29407997
IMAGING
19 Muscle Mass and Mortality After Cardiac Transplantation. Bibas L, Saleh E, Al-Kharji S, Chetrit J, Mullie L, Cantarovich M, Cecere R, Giannetti N, Afilalo J 29877924
IMAGING
20 Efficacy of Auditory versus Motor Learning for Skilled and Novice Performers. Brown RM, Penhune VB 30156505
IMAGING

 

Title:Experimental Investigation of Left Ventricular Flow Patterns After Percutaneous Edge-to-Edge Mitral Valve Repair.
Authors:Jeyhani MShahriari SLabrosse M
Link:https://www.ncbi.nlm.nih.gov/pubmed/29168199?dopt=Abstract
DOI:10.1111/aor.13020
Publication:Artificial organs
Keywords:Doppler echocardiographyFlow patternHemodynamic performanceMitral valveParticle image velocimetryPercutaneous edge-to-edge repair
PMID:29168199 Category:Artif Organs Date Added:2019-06-20
Dept Affiliation: IMAGING
1 Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, Ontario, Canada.
2 Department of Mechanical and Industrial Engineering, Concordia University, Montreal, Quebec, Canada.
3 Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
4 Department of Mechanical Engineering, University of Ottawa, Ottawa, Ontario, Canada.

Description:

Experimental Investigation of Left Ventricular Flow Patterns After Percutaneous Edge-to-Edge Mitral Valve Repair.

Artif Organs. 2018 May;42(5):516-524

Authors: Jeyhani M, Shahriari S, Labrosse M

Abstract

Mitral valve percutaneous edge-to-edge repair (PEtER) is a viable solution in high-risk patients with severe symptomatic mitral regurgitation. However, the generated double-orifice configuration poses challenges for the evaluation of the hemodynamic performance of the mitral valve and may alter flow patterns in the left ventricle (LV) during diastole. This in vitro study aims to evaluate the hemodynamic modifications following a simulated PEtER. A custom-made mitral valve was developed, and two configurations were tested: (i) a single-orifice valve with mitral regurgitation and (ii) a double-orifice mitral valve configuration following PEtER. The hemodynamic performance of the valve was evaluated using Doppler echocardiography and catheterization, while the flow patterns in the LV were investigated using particle image velocimetry (PIV). The tests were run at a stroke volume of 65 mL and a heart rate of 70 bpm. PEtER was found to significantly reduce the regurgitant volume (15 vs. 34 mL). There was a good agreement between Doppler and catheter transmitral pressure gradients (peak gradient: 9 vs. 7 mm Hg; mean gradient: 4 vs. 3 mm Hg) as well as an excellent agreement between maximal velocity measured by Doppler and PIV (1.60 vs. 1.58 m/s). Vortex development in the LV during diastole was significantly different after repair. PEtER significantly increased the amplitude of Reynolds and viscous shear stresses, as well as the number of high shear regions in the LV, potentially promoting thromboembolism events.

PMID: 29168199 [PubMed - indexed for MEDLINE]





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