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Computer-assisted Analysis of Three-dimensional MR Angiograms

Marcela Hernández-Hoyos, Maciej Orkisz, Philippe Puech, Catherine Mansard-Desbleds, Philippe Douek, Isabelle E. Magnin
2002 Radiographics  
The software tools required for postprocessing of magnetic resonance (MR) angiograms include the following functions: data handling, image visualization, and vascular analysis.  ...  The quantification is performed in three steps: extraction of the vessel centerline, detection of vessel boundaries in planes locally orthogonal to the centerline, and calculation of stenosis parameters  ...  Acknowledgments: We thank Alfred Anwander for his help in implementing the algorithm for vessel contour extraction, Bruno Marchand for providing the phantom data sets, and Leonardo Florez for his great  ... 
doi:10.1148/radiographics.22.2.g02mr03421 pmid:11896231 fatcat:qbvaq3oufrapfepkktvwq4mwjy

Ultra-high resolution, 3-dimensional magnetic resonance imaging of the atherosclerotic vessel wall at clinical 7T

Martin J. Willemink, Bram F. Coolen, Hadrien Dyvorne, Philip M. Robson, Ilda Bander, Seigo Ishino, Alison Pruzan, Arthi Sridhar, Bei Zhang, Priti Balchandani, Venkatesh Mani, Gustav J. Strijkers (+6 others)
2020 PLoS ONE  
In conclusion, we successfully developed 3D, black-blood, ultra-high spatial resolution vessel wall MRI protocols on a 7T clinical scanner. 7T imaging was in general superior to 3T with respect to image  ...  Accurate quantification and characterization of atherosclerotic plaques with MRI requires high spatial resolution acquisitions with excellent image quality.  ...  Acknowledgments The authors would like to thank Chang Ho Wessel and Samantha Baxter. Author Contributions  ... 
doi:10.1371/journal.pone.0241779 pmid:33315867 fatcat:xkl5hz7kfvglpfqbcjaaralmom

Automated Artery Localization and Vessel Wall Segmentation using Tracklet Refinement and Polar Conversion

Li Chen, Jie Sun, Gador Canton, Niranjan Balu, Daniel S. Hippe, Xihai Zhao, Rui Li, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan
2020 IEEE Access  
Image patches were extracted from the centerlines and converted in a polar coordinate system for vessel wall segmentation.  ...  The segmentation method used 3D polar information and overcame problems such as contour discontinuity, complex vessel geometry, and interference from neighboring vessels.  ...  Semiautomated or automated methods have been proposed to segment vessel walls, such as using active contour models by Yuan et al. [9] and Adams et al.  ... 
doi:10.1109/access.2020.3040616 pmid:33777593 pmcid:PMC7996631 fatcat:upuhmkf7fbeibjoc5yyotz5p6e

Quantifying errors in flow measurement using phase contrast magnetic resonance imaging: comparison of several boundary detection methods

Jing Jiang, Paul Kokeny, Wang Ying, Chris Magnano, Robert Zivadinov, E. Mark Haacke
2015 Magnetic Resonance Imaging  
These simplified expressions were then used to numerically simulate the effect of segmentation accuracy and provide some criteria that if met, would keep errors in flow quantification below 10% or 5%.  ...  These sources of errors are well understood and mathematical expressions have been derived for them in previous work.  ...  ACKNOWLEDGMENTS Research reported in this publication was supported by the National Heart, Lung, And Blood Institute of the National Institutes of Health under Award Number R42HL112580.  ... 
doi:10.1016/j.mri.2014.10.009 pmid:25460329 pmcid:PMC4293330 fatcat:5y2wtxefqzft3krshxhiskaueq

Endothelial Shear Stress: A Critical Determinant of Arterial Remodeling and Arterial Stiffness in Humans--A Carotid 3.0-T MRI Study

R. Duivenvoorden, E. VanBavel, E. de Groot, E. S. G. Stroes, J. A. Disselhorst, B. A. Hutten, J. S. Lameris, J. J. P. Kastelein, A. J. Nederveen
2010 Circulation Cardiovascular Imaging  
[b], Ϫ0.19 mm 2 per N/m 2 ; Pϭ0.02), lumen area (b, Ϫ15.5 mm 2 per N/m 2 ; PϽ0.001), and vessel size (b, Ϫ24.0 mm 2 per N/m 2 ; PϽ0.001).  ...  Multiple linear regression analysis accounting for age and blood pressure revealed that ESS was an independent predictor of the following response variables: carotid wall thickness (regression coefficient  ...  Acknowledgments We thank A.M. van den Berg and H. Afzali for assisting in data acquisition and analysis and A.H. Zwinderman, PhD, for assisting with statistical analysis. Disclosures None.  ... 
doi:10.1161/circimaging.109.916304 pmid:20576811 fatcat:dc7l543xobd7xnyo6owbi6f3i4

Assessment of Carotid Plaque Vulnerability Using Structural and Geometrical Determinants

Zhi-Yong Li, Tjun Tang, Jean U-King-Im, Martin Graves, Michael Sutcliffe, Jonathan H Gillard
2008 Circulation Journal  
Methods and Results Using a finite element method, structural analysis was performed using models derived from in vivo high-resolution magnetic resonance imaging (MRI) of carotid atheroma in 40 non-consecutive  ...  tensile stress in the lesion may play an important role in plaque rupture and myocardial infarction. 17 Tang et al used an ex vivo magnetic resonance imaging (MRI)-based flow-structure interaction model  ...  Acknowledgments We gratefully acknowledge the support of The Stroke Association and GlaxoSmithKline. We thank Mr Tim Baynes, Specialist Research Nurse at Addenbrooke's Hospital, for his support.  ... 
doi:10.1253/circj.72.1092 pmid:18577817 fatcat:agljrx2cwvcsrmx445mbjqbvri

Segmentation of Soft atherosclerotic plaques using active contour models [article]

Muhammad Moazzam Jawaid
2016 arXiv   pre-print
Consequently based on detected seed point & intensity behaviour, localized active contour segmentation has been applied to extract complete coronary tree.  ...  This similarity in intensity makes the isolation and detection of soft plaques very difficult. This work aims to develop framework for segmentation of vulnerable plaques with minimal user dependency.  ...  A substitute for non-invasive imaging of vasculature is magnetic resonance angiography (MRA) but due to less spatial resolution (high slice thickness) this modality is for recording larger vessels only  ... 
arXiv:1608.00116v1 fatcat:5h6n3ervbze47b6oiit66ro4qq

Review of Journal of Cardiovascular Magnetic Resonance 2015

D. J. Pennell, A. J. Baksi, S. K. Prasad, R. H. Mohiaddin, F. Alpendurada, S. V. Babu-Narayan, J. E. Schneider, D. N. Firmin
2016 Journal of Cardiovascular Magnetic Resonance  
There were 116 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2015, which is a 14% increase on the 102 articles published in 2014.  ...  The 2015 JCMR Impact Factor (which is published in June 2016) rose to 5.75 from 4.72 for 2014 (as published in June 2015) , which is the highest impact factor ever recorded for JCMR.  ...  Consent for publication Not applicable. Ethics approval and consent to participate Not applicable. Supporting data Not applicable.  ... 
doi:10.1186/s12968-016-0305-7 pmid:27846914 pmcid:PMC5111217 fatcat:xpe47w5atvcilebmccg4ut7xgm

Imaging biomarkers of cardiovascular disease

Jinnan Wang, Niranjan Balu, Gador Canton, Chun Yuan
2010 Journal of Magnetic Resonance Imaging  
In addition, the accuracy of in vivo MRI has been validated against histology with high reproducibility, thus paving the way for application to epidemiological studies of disease pathogenesis and, by serial  ...  The application of plaque MRI in clinical trials as well as emerging imaging techniques used to evaluate plaque compositional features and biological activities are also discussed.  ...  Ferguson and Zach Miller for their assistances in editing the manuscript. Grant Support: This work is partly supported by grant NIH HL56874, NIH HL076378  ... 
doi:10.1002/jmri.22266 pmid:20815049 pmcid:PMC2935309 fatcat:firsa4dgnrc67ckv2g7a4lnvu4

A Survey of Cardiac 4D PC-MRI Data Processing [article]

Benjamin Köhler, Silvia Born, Roy F. P. Van Pelt, Uta Preim, Bernhard Preim
2015 Eurographics Workshop on Visual Computing for Biomedicine  
Processing the data comprises complex image processing methods as well as flow analysis and visualization. In this work, we mainly focus on the aorta.  ...  A dataset contains time-resolved, three-dimensional blood flow directions and strengths, facilitating comprehensive qualitative and quantitative data analysis.  ...  Acknowledgements We would like to thank Anja Hennemuth (Fraunhofer MEVIS) for valuable feedback.  ... 
doi:10.2312/vcbm.20151217 dblp:conf/vcbm/KohlerBPPP15 fatcat:ashxa76onnaaxcj3eibmwms3ae

Patient-Specific Modeling of Cardiovascular Mechanics

C.A. Taylor, C.A. Figueroa
2009 Annual Review of Biomedical Engineering  
We review methods to create anatomic and physiologic models, obtain properties, assign boundary conditions, and solve the equations governing blood flow and vessel wall dynamics.  ...  Advances in numerical methods and three-dimensional imaging techniques have enabled the quantification of cardiovascular mechanics in subjectspecific anatomic and physiologic models.  ...  ACKNOWLEDGMENTS This review was supported, in part, by grants from the National Science Foundation (ITR-0205741) and the National Institutes of Health (U54 GM072970). We also acknowledge expert  ... 
doi:10.1146/annurev.bioeng.10.061807.160521 pmid:19400706 pmcid:PMC4581431 fatcat:hyc2p2gvwffx5m2egsvausrsla

Comprehensive Modeling and Visualization of Cardiac Anatomy and Physiology from CT Imaging and Computer Simulations

Guanglei Xiong, Peng Sun, Haoyin Zhou, Seongmin Ha, Briain o Hartaigh, Quynh A. Truong, James K. Min
2017 IEEE Transactions on Visualization and Computer Graphics  
, and coronary arteries; (2) Function from CT imaging: motion modeling, strain calculation, and visualization of four heart chambers; (3) Physiology from CT imaging: quantification and visualization of  ...  In clinical cardiology, both anatomy and physiology are needed to diagnose cardiac pathologies. CT imaging and computer simulations provide valuable and complementary data for this purpose.  ...  This work was supported in part by NIH grants #7R01HL111141, #1R01HL118019 and #UL1TR000457. Haoyin  ... 
doi:10.1109/tvcg.2016.2520946 pmid:26863663 pmcid:PMC4975682 fatcat:ced2xczizfhhrhdzmedcwbhfuy

Evaluation of 3D blood flow patterns and wall shear stress in the normal and dilated thoracic aorta using flow-sensitive 4D CMR

Jonas Bürk, Philipp Blanke, Zoran Stankovic, Alex Barker, Maximilian Russe, Julia Geiger, Alex Frydrychowicz, Mathias Langer, Michael Markl
2012 Journal of Cardiovascular Magnetic Resonance  
The purpose of this study was to investigate 3D flow patterns and vessel wall parameters in patients with dilated ascending aorta, age-matched subjects, and healthy volunteers.  ...  Blood flow velocities, regional wall shear stress (WSS), and oscillatory shear index (OSI) were quantified.  ...  Figure 1 1 Position of the planes for particle trace visualization (1, 3 and 6) and blood flow/ vessel wall quantification (1) (2) (3) (4) (5) (6) (7) (8) in the thoracic aorta.  ... 
doi:10.1186/1532-429x-14-84 pmid:23237187 pmcid:PMC3534249 fatcat:sfnzjfpzubbu5ecgcrhh6oaapm

System identification theory in myocardial perfusion modeling of dynamic contrast-enhanced MRI

Jean-Paul Vallée, Marko Ivancevic, Jean-Luc Daire, Dominique Didier, Michel Kocher
2009 Journal of Cardiovascular Magnetic Resonance  
Contrast enhanced cardiovascular magnetic resonance imaging (ceCMR) can detect and quantify myocardial fibrosis in the setting of CMI and might therefore be a valuable tool for a more accurate risk stratification  ...  The use of ICDs in this large patient population is still limited by high costs and possible adverse events including inappropriate discharges and progression of heart failure.  ...  Conclusion: We have developed and technically validated an automatic delineation algorithm for multi-echo CMR images. The resulting contours are accurate and allow for accurate T2* quantification.  ... 
doi:10.1186/1532-429x-11-s1-p277 fatcat:meh4u2os2jgczmnzqr5xebzjna

Location, patterns, and quantification of myocardial fibrosis identified by cardiac magnetic resonance delayed enhancement late after fontan operation

Rahul H Rathod, Ashwin Prakash, Andrew J Powell, Tal Geva
2009 Journal of Cardiovascular Magnetic Resonance  
Contrast enhanced cardiovascular magnetic resonance imaging (ceCMR) can detect and quantify myocardial fibrosis in the setting of CMI and might therefore be a valuable tool for a more accurate risk stratification  ...  The use of ICDs in this large patient population is still limited by high costs and possible adverse events including inappropriate discharges and progression of heart failure.  ...  Conclusion: We have developed and technically validated an automatic delineation algorithm for multi-echo CMR images. The resulting contours are accurate and allow for accurate T2* quantification.  ... 
doi:10.1186/1532-429x-11-s1-o50 fatcat:j6nrfdgr2fbara66keowypfuhe
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