TY - JOUR AU - de, Souza L.M. AU - Temmel, E. AU - Janiga, Gábor AU - Seidel-Morgenstern, A. AU - Thévenin, D. TI - Simulation of a batch crystallizer using a multi-scale approach in time and space JF - CHEMICAL ENGINEERING SCIENCE J2 - CHEM ENG SCI VL - 232 PY - 2021 SN - 0009-2509 DO - 10.1016/j.ces.2020.116344 UR - https://m2.mtmt.hu/api/publication/31911935 ID - 31911935 N1 - Lab. of Fluid Dynamics and Technical Flows, Otto-von-Guericke-Universität, Magdeburg, Germany Department of Chemical and Process Engineering, Otto-von-Guericke-Universität, Magdeburg, Germany Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany Export Date: 11 March 2021 CODEN: CESCA Correspondence Address: Thévenin, D.; Lab. of Fluid Dynamics and Technical Flows, Germany; email: thevenin@ovgu.de Funding details: European Regional Development Fund, FEDER Funding text 1: This work has been partly supported by the EU-programme ERDF (European Regional Development Fund) within the Research Center for Dynamic Systems (CDS). Furthermore, the authors would like to thank Marvin Henneberg for his support regarding mesh generation and grid-dependency study. AB - The simulation of a crystallizer leads to a challenging problem with very different time and length scales. After checking a simple 0-D approach in time, and a brute-force coupling process describing the complete problem in space and time, the multi-scale methodology developed in this work combines three-dimensional Computational Fluid Dynamics simulations on a short time-scale (to describe hydrodynamic features) with zero-dimensional simulations relying on a Population Balance Model over long time-scales to compute the evolution of all important particle properties (volume fraction, particle size distribution, slip velocities, mass transfer coefficients). The flow field in the crystallizer is almost homogeneous, apart for a stagnation zone below the impeller leading to an increased solid-phase volume fraction but smaller crystals. The diffusive mass transfer coefficient evolves in a non-monotonic way. A proper prediction of dynamically changing local supersaturations requires a closer coupling between the two simulation steps in the multi-scale framework. © 2020 Elsevier Ltd LA - English DB - MTMT ER - TY - JOUR AU - Hosseini, S.A. AU - Berg, P. AU - Huang, F. AU - Roloff, C. AU - Janiga, Gábor AU - Thévenin, D. TI - Central moments multiple relaxation time LBM for hemodynamic simulations in intracranial aneurysms: An in-vitro validation study using PIV and PC-MRI JF - COMPUTERS IN BIOLOGY AND MEDICINE J2 - COMPUT BIOL MED VL - 131 PY - 2021 SN - 0010-4825 DO - 10.1016/j.compbiomed.2021.104251 UR - https://m2.mtmt.hu/api/publication/31911934 ID - 31911934 N1 - Laboratory of Fluid Dynamics and Technical Flows, University of Magdeburg “Otto von Guericke”, Magdeburg, D-39106, Germany Department of Mechanical and Process Engineering, ETH Zürich, Zürich, 8092, Switzerland Research Campus STIMULATE, University of Magdeburg “Otto von Guericke”, Magdeburg, D-39106, Germany Export Date: 11 March 2021 CODEN: CBMDA Correspondence Address: Hosseini, S.A.; Laboratory of Fluid Dynamics and Technical Flows, Germany; email: seyed.hosseini@ovgu.de Funding details: Deutsche Forschungsgemeinschaft, DFG, 422037413 Funding details: Bundesministerium für Bildung und Forschung, BMBF, 13GW0473A, BE 6230/2-1 Funding details: China Scholarship Council, CSC, 201908080236 Funding text 1: It must be noted that these equilibrium moments are only recovered using the full Hermite expansion supported by the stencil, and not the classical second-order EDF usually employed in LBM solvers. Given the added benefits of a fully expanded EDF [42,46], the present work will use a sixth-order Hermite-expansion for all simulations.Since this study demonstrates the feasibility of applying the introduced LBM-based solver to clinically relevant research problems, future work includes the consideration of an increased number of aneurysm patients. Furthermore, specific questions with respect to rupture risk assessment, thrombus formation or treatment support will be addressed, while accompanying experimental validation measurements are carried out to ensure the reliability of our numerical models.S.A.H. would like to acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) in TRR 287 (Project-ID 422037413). F.H. was supported by the State Scholarship Fund of the China Scholarship Council (grant number 201908080236). Furthermore, P.B. acknowledges the funding by the German Federal Ministry of Education and Research within the Research Campus STIMULATE (13GW0473A) and the German Research Foundation (BE 6230/2-1). The authors further thank Franziska Gaidzik and Daniel Stucht (both University of Magdeburg, Germany) for their assistance during the PCMRI flow measurements. Funding text 2: Furthermore, P.B. acknowledges the funding by the German Federal Ministry of Education and Research within the Research Campus STIMULATE ( 13GW0473A ) and the German Research Foundation ( BE 6230/2-1 ). Funding text 3: F.H. was supported by the State Scholarship Fund of the China Scholarship Council (grant number 201908080236). Funding text 4: S.A.H. would like to acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) in TRR 287 (Project-ID 422037413 ). AB - The lattice Boltzmann method (LBM) has recently emerged as an efficient alternative to classical Navier-Stokes solvers. This is particularly true for hemodynamics in complex geometries. However, in its most basic formulation, i.e. with the so-called single relaxation time (SRT) collision operator, it has been observed to have a limited stability domain in the Courant/Fourier space, strongly constraining the minimum time-step and grid size. The development of improved collision models such as the multiple relaxation time (MRT) operator in central moments space has tremendously widened the stability domain, while allowing to overcome a number of other well-documented artifacts, therefore opening the door for simulations over a wider range of grid and time-step sizes. The present work focuses on implementing and validating a specific collision operator, the central Hermite moments multiple relaxation time model with the full expansion of the equilibrium distribution function, to simulate blood flows in intracranial aneurysms. The study further proceeds with a validation of the numerical model through different test-cases and against experimental measurements obtained via stereoscopic particle image velocimetry (PIV) and phase-contrast magnetic resonance imaging (PC-MRI). For a patient-specific aneurysm both PIV and PC-MRI agree fairly well with the simulation. Finally, low-resolution simulations were shown to be able to capture blood flow information with sufficient accuracy, as demonstrated through both qualitative and quantitative analysis of the flow field while leading to strongly reduced computation times. For instance in the case of the patient-specific configuration, increasing the grid-size by a factor of two led to a reduction of computation time by a factor of 14 with very good similarity indices still ranging from 0.83 to 0.88. © 2021 Elsevier Ltd LA - English DB - MTMT ER - TY - JOUR AU - Chi, C. AU - Janiga, Gábor AU - Thévenin, D. TI - On-the-fly artificial neural network for chemical kinetics in direct numerical simulations of premixed combustion JF - COMBUSTION AND FLAME J2 - COMBUST FLAME VL - 226 PY - 2021 SP - 467 EP - 477 PG - 11 SN - 0010-2180 DO - 10.1016/j.combustflame.2020.12.038 UR - https://m2.mtmt.hu/api/publication/31911933 ID - 31911933 N1 - Laboratory of Fluid Dynamics and Technical Flows, University of Magdeburg, “Otto von Guericke”, Magdeburg, D-39106, Germany International Max Planck Research School (IMPRS) for Advanced Methods in Process and Systems Engineering, Magdeburg, Germany Export Date: 11 March 2021 CODEN: CBFMA Correspondence Address: Chi, C.; Laboratory of Fluid Dynamics and Technical Flows, “Otto von Guericke”, Germany; email: cheng.chi@ovgu.de Funding details: International Max Planck Research School for Advanced Methods in Process and Systems Engineering, IMPRS Funding details: International Max Planck Research School for Advanced Methods in Process and Systems Engineering, IMPRS Funding text 1: The financial support of the International Max Planck Research School Magdeburg for Advanced Methods in Process and Systems Engineering (IMPRS ProEng) is gratefully acknowledged. The DNS simulations have been made possible thanks to the Gauss Centre for Supercomputing e.V. ( www.gauss-centre.eu ), providing computing time on the Supercomputer JUWELS at Jülich Supercomputing Centre (JSC, Germany); the support of Dr. Koh at JSC is gratefully acknowledged. AB - In this study, an on-the-fly artificial neural network (ANN) framework has been developed for the tabulation of chemical reaction terms in direct numerical simulations (DNS) of premixed and igniting flames. The procedure does not require any preliminary knowledge to generate samples for ANN training; the whole training process is based on the detailed simulation results and takes place on-the-fly, so that the obtained ANN model is perfectly adapted to the specific problem considered. The framework combines direct integration (DI) and ANN model in an efficient way to overcome the extrapolation issue of the monolithic ANN model. Auto-ignition processes as well as the characteristics of established flames can be very well predicted using the ANN model. In the final simulations, involving a case with 3D turbulent hot-spot ignition, and a flame propagating in a turbulent flow, the developed procedure reduces the computational times by a factor of almost 5, while keeping the error for all species below 1% compared to the standard, monolithic DI solution. © 2020 The Combustion Institute LA - English DB - MTMT ER - TY - JOUR AU - Gaidzik, Franziska AU - Pathiraja, Sahani AU - Saalfeld, Sylvia AU - Stucht, Daniel AU - Speck, Oliver AU - Thevenin, Dominique AU - Janiga, Gábor TI - Hemodynamic Data Assimilation in a Subject-specific Circle of Willis Geometry JF - CLINICAL NEURORADIOLOGY J2 - CLIN NEURORADIOL VL - 31 PY - 2021 IS - 3 SP - 643 EP - 651 PG - 9 SN - 1869-1439 DO - 10.1007/s00062-020-00959-2 UR - https://m2.mtmt.hu/api/publication/31767416 ID - 31767416 AB - Purpose The anatomy of the circle of Willis (CoW), the brain's main arterial blood supply system, strongly differs between individuals, resulting in highly variable flow fields and intracranial vascularization patterns. To predict subject-specific hemodynamics with high certainty, we propose a data assimilation (DA) approach that merges fully 4D phase-contrast magnetic resonance imaging (PC-MRI) data with a numerical model in the form of computational fluid dynamics (CFD) simulations. Methods To the best of our knowledge, this study is the first to provide a transient state estimate for the three-dimensional velocity field in a subject-specific CoW geometry using DA. High-resolution velocity state estimates are obtained using the local ensemble transform Kalman filter (LETKF). Results Quantitative evaluation shows a considerable reduction (up to 90%) in the uncertainty of the velocity field state estimate after the data assimilation step. Velocity values in vessel areas that are below the resolution of the PC-MRI data (e.g., in posterior communicating arteries) are provided. Furthermore, the uncertainty of the analysis-based wall shear stress distribution is reduced by a factor of 2 for the data assimilation approach when compared to the CFD model alone. Conclusion This study demonstrates the potential of data assimilation to provide detailed information on vascular flow, and to reduce the uncertainty in such estimates by combining various sources of data in a statistically appropriate fashion. LA - English DB - MTMT ER - TY - CHAP AU - Lehr, A. AU - Janiga, Gábor AU - Seidel-Morgenstern, A. AU - Thévenin, D. TI - CFD Simulation of a Solid-Liquid Counter-Current Screw Extractor T2 - Computer Aided Chemical Engineering VL - 48 PB - Elsevier B.V. T3 - Computer-Aided Chemical Engineering, ISSN 1570-7946 ; 48. PY - 2020 SP - 223 EP - 228 PG - 6 DO - 10.1016/B978-0-12-823377-1.50038-0 UR - https://m2.mtmt.hu/api/publication/31910937 ID - 31910937 N1 - Otto von Guericke University Magdeburg, Universitätsplatz 2, Magdeburg, 39106, Germany Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstraβe 1, Magdeburg, 39106, Germany Export Date: 11 March 2021 AB - More efficient processes to obtain artemisinin from Artemisia annua leaves via a solid-liquid extraction process are desirable, since artemisinin is increasingly needed as anti-malaria drug. As a substitute for conventional batch extraction technology, continuously operated counter-current processes are highly attractive for that purpose. To get first a better understanding of the hydrodynamics controlling the extraction, a multiphase 3D computational fluid dynamics (CFD) simulation model has been developed in the present project. It relies on the Volume of Fluid (VoF) model, leading to a purely Eulerian description of the flow. Using VoF, the distribution of the different phases within the screw extractor can be obtained. When varying the two inlet flow rates, different residence times for the liquid and the solid phases are obtained. This is particularly important, since the residence time is the most important process parameter to adjust. Currently, the predicted residence times for the liquid solvent amount to only one third of the experimentally determined values. However, accurate measurements are difficult, the assessment of residence times is different in the experiments and in the simulations, and the numerical model does not consider mass exchange processes between the phases yet. In spite of this discrepancy, a very good qualitative agreement is obtained, and these first results can be used to support the development of a compartment model, able to capture later both hydrodynamic and mass exchange processes with short computational times. © 2020 Elsevier B.V. LA - English DB - MTMT ER - TY - JOUR AU - Kopparthy, S. AU - Mansour, M. AU - Janiga, Gábor AU - Thévenin, D. TI - Numerical investigations of turbulent single-phase and two-phase flows in a diffuser JF - INTERNATIONAL JOURNAL OF MULTIPHASE FLOW J2 - INT J MULTIPHAS FLOW VL - 130 PY - 2020 SN - 0301-9322 DO - 10.1016/j.ijmultiphaseflow.2020.103333 UR - https://m2.mtmt.hu/api/publication/31910936 ID - 31910936 N1 - Lab. of Fluid Dynamics & Technical Flows, University of Magdeburg “Otto Von Guericke”, Magdeburg, 39106, Germany Mechanical Power Engineering Department, Faculty of Engineering - Mattaria, Helwan University, Cairo, 11718, Egypt Export Date: 11 March 2021 Correspondence Address: Mansour, M.; Lab. of Fluid Dynamics & Technical Flows, Germany; email: michael.mansour@ovgu.de Funding details: Research School, Ruhr University Bochum, RS, RUB Funding text 1: The authors gratefully acknowledge the financial support of this project by the Verband Deutscher Maschinen- und Anlagenbau e.V. (VDMA), as part of a collaboration with Professor R. Skoda from Ruhr University in Bochum. The Ph.D. work of Mr. Mansour was partially supported by a scholarship from the Egyptian government, IGF-project no-20638 BG/2. AB - This study presents numerical investigations of turbulent single-phase (water) and two-phase (air-water) flows in a horizontal diverging channel (diffuser), extending our previous experimental work (Mansour et al., 2018a). The main target is to examine and discuss the prediction accuracy of available computational fluid dynamics (CFD) models under such turbulent two-phase flow conditions with separation, based on direct comparisons with detailed experimental data. After performing a mesh-independence test, the numerical results for single-phase flows have been validated against experimental data of the axial pressure change in the channel. Four different turbulence models, including the Realizable k−ϵ, the k−ω shear stress transport (SST), the Spalart-Allmaras, and the Reynolds Stress Model (RSM) were considered and compared. The results show that the Realizable k−ϵ and RSM models can predict the pressure change in single-phase flows more accurately, while only RSM could as well predict a velocity field close to the experiments. Accordingly, only Realizable k−ϵ and RSM have been used for further two-phase flow simulations, which were performed using a transient setup together with the Volume of Fluid (VOF) method to model the interaction between the two phases. It was observed that only RSM performed reasonably well concerning flow regimes and air accumulations. Finally, considering higher flow rates, even the two-phase flow regimes predicted by RSM start to deviate from the experiments. The present study underlines the limitations of existing CFD models when applied to such complex two-phase flows. © 2020 Elsevier Ltd LA - English DB - MTMT ER - TY - JOUR AU - Fathi, M.F. AU - Perez-Raya, I. AU - Baghaie, A. AU - Berg, P. AU - Janiga, Gábor AU - Arzani, A. AU - D'Souza, R.M. TI - Super-resolution and denoising of 4D-Flow MRI using physics-Informed deep neural nets JF - COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE J2 - COMPUT METH PROG BIO VL - 197 PY - 2020 SN - 0169-2607 DO - 10.1016/j.cmpb.2020.105729 UR - https://m2.mtmt.hu/api/publication/31910934 ID - 31910934 N1 - Dept. of Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI, United States Dept. of Electrical and Computer Engineering, New York Institute of Technology, Long Island, NY, United States Lab. of Fluid Dynamics and Technical Flows, University of Magdeburg, Germany Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany Dept. of Mechanical Engineering, Northern Arizona University, Flagstaff, AZ, United States Export Date: 11 March 2021 CODEN: CMPBE Correspondence Address: D'Souza, R.M.; Dept. of Mechanical Engineering, United States; email: dsouza@uwm.edu Funding details: I 117 Funding text 1: The authors like to thank the College of Engineering and Applied Science Dean's office for the seed funding for this research. The 7T MRI data was acquired by the BMMR Dept. at the University of Magdeburg, Germany. PIV work at the University of Magdeburg was partly funded by the the Ministry of Economics, Science and Digitization of Saxony-Anhalt within the Forschungscampus STIMULATE (grant number I 117). Funding text 2: The authors like to thank the College of Engineering and Applied Science Dean’s office for the seed funding for this research. The 7T MRI data was acquired by the BMMR Dept. at the University of Magdeburg, Germany. PIV work at the University of Magdeburg was partly funded by the the Ministry of Economics, Science and Digitization of Saxony-Anhalt within the Forschungscampus STIMULATE (grant number I 117 ). AB - Background and Objective: Time resolved three-dimensional phase contrast magnetic resonance imaging (4D-Flow MRI) has been used to non-invasively measure blood velocities in the human vascular system. However, issues such as low spatio-temporal resolution, acquisition noise, velocity aliasing, and phase-offset artifacts have hampered its clinical application. In this research, we developed a purely data-driven method for super-resolution and denoising of 4D-Flow MRI. Methods: The flow velocities, pressure, and the MRI image magnitude are modeled as a patient-specific deep neural net (DNN). For training, 4D-Flow MRI images in the complex Cartesian space are used to impose data-fidelity. Physics of fluid flow is imposed through regularization. Creative loss function terms have been introduced to handle noise and super-resolution. The trained patient-specific DNN can be sampled to generate noise-free high-resolution flow images. The proposed method has been implemented using the TensorFlow DNN library and tested on numerical phantoms and validated in-vitro using high-resolution particle image velocitmetry (PIV) and 4D-Flow MRI experiments on transparent models subjected to pulsatile flow conditions. Results: In case of numerical phantoms, we were able to increase spatial resolution by a factor of 100 and temporal resolution by a factor of 5 compared to the simulated 4D-Flow MRI. There is an order of magnitude reduction of velocity normalized root mean square error (vNRMSE). In case of the in-vitro validation tests with PIV as reference, there is similar improvement in spatio-temporal resolution. Although the vNRMSE is reduced by 50%, the method is unable to negate a systematic bias with respect to the reference PIV that is introduced by the 4D-Flow MRI measurement. Conclusions: This work has demonstrated the feasibility of using the readily available machinery of deep learning to enhance 4D-Flow MRI using a purely data-driven method. Unlike current state-of-the-art methods, the proposed method is agnostic to geometry and boundary conditions and therefore eliminates the need for tedious tasks such as accurate image segmentation for geometry, image registration, and estimation of boundary flow conditions. Arbitrary regions of interest can be selected for processing. This work will lead to user-friendly analysis tools that will enable quantitative hemodynamic analysis of vascular diseases in a clinical setting. © 2020 LA - English DB - MTMT ER - TY - CHAP AU - Schulz, F. AU - Roloff, C. AU - Stucht, D. AU - Thevenin, D. AU - Speck, O. AU - Janiga, Gábor ED - Papadrakakis, M. ED - Papadopoulos, V. ED - Stefanou, G. TI - Improved flow prediction in intracranial aneurysms using data assimilation T2 - 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019 PB - National Technical University of Athens SN - 9786188284494 PY - 2019 SP - 629 EP - 639 PG - 11 DO - 10.7712/120219.6365.18884 UR - https://m2.mtmt.hu/api/publication/31911957 ID - 31911957 N1 - Department of Fluid Dynamics and Technical Flows, Otto-von-Guericke University Magdeburg, Magdeburg, Germany Department of Biomedical Magnetic Resonance, Otto-von-Guericke University Magdeburg, Magdeburg, Germany Conference code: 236499 Export Date: 11 March 2021 AB - Rupture of intracranial aneurysms often leads to irreversible disabilities or even death. The investigation of hemodynamics increases the understanding of cardiovascular diseases, this gain of knowledge can support physicians in outcome prediction and therapy planning. Hemodynamic simulations are restricted by modeling assumptions and uncertain initial conditions, whereas PC-MRI data is affected by measurement noise and artifacts. To overcome the limitations of both techniques, the current study uses a Localization Ensemble Transform Kalman Filter (LETKF) to incorporate uncertain Phase-Contrast MRI data into an ensemble of numerical simulations. The analysis output provides an improved state estimate of the threedimensional blood flow field. Benchmark measurements are carried out in a silicone phantom model of an idealized aneurysm under user-specific inflow conditions. Validation is ensured with high-resolution Particle Imaging Velocimetry (PIV) obtained from a vertical slice in the center of the same geometry. Results show that even velocity peaks smaller than the PC-MRI resolution can be reconstructed using the employed approach. The root mean square error (RMSE) of the analysis state estimate is reduced by 27 % to 89 % in comparison to interpolation of the PC-MRI data onto the PIV grid resolution. © 2019 Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering, UNCECOMP 2019. All rights reserved. LA - English DB - MTMT ER - TY - CONF AU - Daróczy, L. AU - Janiga, Gábor AU - Thévenin, D. TI - Optimization of a winglet for improving the performance of an H-Darrieus turbine using CFD T2 - 16th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery, ISROMAC 2016 PY - 2019 SP - 149383 UR - https://m2.mtmt.hu/api/publication/31911955 ID - 31911955 N1 - Conference code: 149383 Export Date: 11 March 2021 Correspondence Address: Daróczy, L.; Laboratory of Fluid Dynamics and Technical Flows, Germany; email: laszlo.daroczy@ovgu.de AB - The importance of wind energy has progressed rapidly in the last years. Although Horizontal Axis Wind Turbines (HAWT) are most well-spread, there is an increasing interest in Vertical Axis Wind Turbines (VAWT), especially in the H-Darrieus concept, as these rotors are omni-directional and affordable. However, the physics of these rotors is more complex; they can only be analyzed using transient CFD simulations. Due to the finite aspect ratio of the rotors, a wingtip vortex is created, which generates losses. Optimizing the wingtip geometry could be advantageous for increasing the efficiency of the rotors: this can only be achieved with three-dimensional turbulent transient simulations. For the optimization of winglets, the whole process (mesh generation, CFD computation, post-processing) has to be automated. This is achieved using the OPtimization Algorithm Library++ (OPAL++), a custom C++ code for the description of blended and canted winglets, coupled with a CD-Adapco StarCCM+ Java script for the automatization of the mesh generation and CFD computations. To check the viability of the present concept, two parameters have been varied in the simulations. As shown in what follows, an efficient automatic optimization of wind turbine wingtips can be implemented in this manner. © Open Archives of the 16th International Symposium on Transport Phenomena and Dynamics of Rotating Machinery, ISROMAC 2016. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Berg, Philipp AU - Voß, Samuel AU - Janiga, Gábor AU - Saalfeld, Sylvia AU - Bergersen, Aslak W. AU - Valen-Sendstad, Kristian AU - Bruening, Jan AU - Goubergrits, Leonid AU - Spuler, Andreas AU - Chiu, Tin Lok AU - Tsang, Anderson Chun On AU - Copelli, Gabriele AU - Csippa, Benjamin AU - Paál, György AU - Závodszky, Gábor AU - Detmer, Felicitas J. AU - Chung, Bong J. AU - Cebral, Juan R. AU - Fujimura, Soichiro AU - Takao, Hiroyuki AU - Karmonik, Christof AU - Elias, Saba AU - Cancelliere, Nicole M. AU - Najafi, Mehdi AU - Steinman, David A. AU - Pereira, Vitor M. AU - Piskin, Senol AU - Finol, Ender A. AU - Pravdivtseva, Mariya AU - Velvaluri, Prasanth AU - Rajabzadeh-Oghaz, Hamidreza AU - Paliwal, Nikhil AU - Meng, Hui AU - Seshadhri, Santhosh AU - Venguru, Sreenivas AU - Shojima, Masaaki AU - Sindeev, Sergey AU - Frolov, Sergey AU - Qian, Yi AU - Wu, Yu-An AU - Carlson, Kent D. AU - Kallmes, David F. AU - Dragomir-Daescu, Dan AU - Beuing, Oliver TI - Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)—phase II: rupture risk assessment JF - INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY J2 - INT J COMPUT ASSIST RADIOL SURG VL - 14 PY - 2019 IS - 10 SP - 1795 EP - 1804 PG - 10 SN - 1861-6410 DO - 10.1007/s11548-019-01986-2 UR - https://m2.mtmt.hu/api/publication/30675736 ID - 30675736 N1 - Összes idézések száma a WoS-ban: 0 AB - Assessing the rupture probability of intracranial aneurysms (IAs) remains challenging. Therefore, hemodynamic simulations are increasingly applied toward supporting physicians during treatment planning. However, due to several assumptions, the clinical acceptance of these methods remains limited. LA - English DB - MTMT ER -