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For: Medero R, Ruedinger K, Rutkowski D, Johnson K, Roldán-Alzate A. In Vitro Assessment of Flow Variability in an Intracranial Aneurysm Model Using 4D Flow MRI and Tomographic PIV. Ann Biomed Eng 2020;48:2484-93. [PMID: 32524379 DOI: 10.1007/s10439-020-02543-8] [Cited by in Crossref: 16] [Cited by in F6Publishing: 12] [Article Influence: 8.0] [Reference Citation Analysis]
Number Citing Articles
1 Liu X, Aslan S, Kim B, Warburton L, Jackson D, Muhuri A, Subramanian A, Mass P, Cleveland V, Loke YH, Hibino N, Olivieri L, Krieger A. Computational Fontan Analysis: Preserving Accuracy While Expediting Workflow. World J Pediatr Congenit Heart Surg 2022;13:293-301. [PMID: 35446218 DOI: 10.1177/21501351211073619] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
2 Isoda H, Fukuyama A. Quality Control for 4D Flow MR Imaging. Magn Reson Med Sci 2022. [PMID: 35197395 DOI: 10.2463/mrms.rev.2021-0165] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Maupu C, Lebas H, Boulaftali Y. Imaging Modalities for Intracranial Aneurysm: More Than Meets the Eye. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.793072] [Reference Citation Analysis]
4 Pravdivtseva MS, Gaidzik F, Berg P, Ulloa P, Larsen N, Jansen O, Hövener J, Salehi Ravesh M. Influence of Spatial Resolution and Compressed SENSE Acceleration Factor on Flow Quantification with 4D Flow MRI at 3 Tesla. Tomography 2022;8:457-78. [DOI: 10.3390/tomography8010038] [Reference Citation Analysis]
5 Shinohara I, Inui A, Mifune Y, Nishimoto H, Yamaura K, Mukohara S, Yoshikawa T, Kato T, Furukawa T, Hoshino Y, Matsushita T, Kuroda R. Motion Analysis of Triangular Fibrocartilage Complex by Using Ultrasonography Images: Preliminary Analysis. Sensors (Basel) 2022;22:345. [PMID: 35009887 DOI: 10.3390/s22010345] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 Ha S, Kang Y, Lee H, Hwang M, Baik J, Park S. Intracranial Flow Velocity Quantification Using Non-Contrast Four-Dimensional Flow MRI: A Prospective Comparative Study with Transcranial Doppler Ultrasound. Diagnostics 2021;12:23. [DOI: 10.3390/diagnostics12010023] [Reference Citation Analysis]
7 Wu X, Gürzing S, Schinkel C, Toussaint M, Perinajová R, van Ooij P, Kenjereš S. Hemodynamic Study of a Patient-Specific Intracranial Aneurysm: Comparative Assessment of Tomographic PIV, Stereoscopic PIV, In Vivo MRI and Computational Fluid Dynamics. Cardiovasc Eng Technol 2021. [PMID: 34750782 DOI: 10.1007/s13239-021-00583-2] [Reference Citation Analysis]
8 Liu X, Aslan S, Kim B, Warburton L, Jackson D, Muhuri A, Subramanian A, Mass P, Cleveland V, Loke Y, Hibino N, Olivieri L, Krieger A. Computational Fontan Analysis: Preserving accuracy while expediting workflow.. [DOI: 10.1101/2021.10.28.466272] [Reference Citation Analysis]
9 Annio G, Torii R, Ducci A, Muthurangu V, Tsang V, Burriesci G. Experimental Validation of Enhanced Magnetic Resonance Imaging (EMRI) Using Particle Image Velocimetry (PIV). Ann Biomed Eng 2021. [PMID: 34181130 DOI: 10.1007/s10439-021-02811-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
10 Rutkowski DR, Roldán-Alzate A, Johnson KM. Enhancement of cerebrovascular 4D flow MRI velocity fields using machine learning and computational fluid dynamics simulation data. Sci Rep 2021;11:10240. [PMID: 33986368 DOI: 10.1038/s41598-021-89636-z] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
11 Pineda-castillo SA, Luo J, Lee H, Bohnstedt BN, Liu Y, Lee C. Effects of Carbon Nanotube Infiltration on a Shape Memory Polymer‐Based Device for Brain Aneurysm Therapeutics: Design and Characterization of a Joule‐Heating Triggering Mechanism. Adv Eng Mater 2021;23:2100322. [DOI: 10.1002/adem.202100322] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
12 Schiavone NK, Elkins CJ, McElhinney DB, Eaton JK, Marsden AL. In Vitro Assessment of Right Ventricular Outflow Tract Anatomy and Valve Orientation Effects on Bioprosthetic Pulmonary Valve Hemodynamics. Cardiovasc Eng Technol 2021;12:215-31. [PMID: 33452649 DOI: 10.1007/s13239-020-00507-6] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
13 G. Yazdi S, Mercier D, Bernard R, Tynan A, Ricci DR. Particle Image Velocimetry Measurements of the Flow-Diverting Effects of a New Generation of the eCLIPs Implant for the Treatment of Intracranial Bifurcation Aneurysms. Applied Sciences 2020;10:8639. [DOI: 10.3390/app10238639] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
14 Jang LK, Alvarado JA, Pepona M, Wasson EM, Nash LD, Ortega JM, Randles A, Maitland DJ, Moya ML, Hynes WF. Three-dimensional bioprinting of aneurysm-bearing tissue structure for endovascular deployment of embolization coils. Biofabrication 2021;13:015006. [DOI: 10.1088/1758-5090/abbb9b] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
15 Yazdi SG, Docherty PD, Khanafer A, Jermy M, Kabaliuk N, Geoghegan PH, Williamson P. In-vitro particle image velocimetry assessment of the endovascular haemodynamic features distal of stent-grafts that are associated with development of limb occlusion. Journal of the Royal Society of New Zealand 2021;51:361-74. [DOI: 10.1080/03036758.2020.1826988] [Reference Citation Analysis]