![]() Computation of vascular flow dynamics from intravascular ultrasound images. New methods for computational fluid dynamics modeling of carotid artery from magnetic resonance angiography. On the modeling of carotid artery blood flow from magnetic resonance images. Merging of intersecting triangulations for finite-element modeling. Proceedings of the European Congress on Computational Methods in Applied Sciences and Engineering, 2000 (unpublished).Ĭebral, J. Computer simulation of cerebral artery clipping: Relevance to aneurysm neurosurgery planning. Proposal of a shear-dependent mass transfer mechanism for atherogenesis. ![]() Atherosclerosis and arterial wall shear: Observations, correlation, and proposal of a shear-dependent mass transfer mechanism for atherogenesis. Hemodynamics in the carotid artery bifurcation: A comparison between numerical simulations and in vitro MRI measurements. Radiation doses to patients in neurointerventional procedures. Numerical analysis of flow through a severely stenotic carotid artery bifurcation. Temporal gradient in shear but not steady shear stress induces PDGF-A and MCP-1 expression in endothelial cells: Role of NO, NF kappa B, and egr-1. Proceedings of the 5th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, 2001 (unpublished).īao, X., C. CFD model of a human carotid artery bifurcation reconstructed from 3D ultrasound data. © 2002 Biomedical Engineering Society.Īoki, S., K. Issues related to accuracy, precision, and modeling assumptions are also discussed. In addition to describing various image-based CFD studies carried out to date, we review the medical imaging and image processing techniques available to acquire the necessary geometric and functional boundary conditions. In this paper we review progress, made largely within the last five years, towards the routine use of anatomically realistic CFD models, derived from in vivo medical imaging, to elucidate the role of local hemodynamics in the development and progression of atherosclerosis in large arteries. Recent advances in medical imaging, computerized image processing, and computational fluid dynamics (CFD) now make it possible to computationally reconstruct the time-varying, three-dimensional blood flow patterns in anatomically realistic models. Until recently, our understanding of arterial fluid dynamics and their relationship to atherosclerosis was limited by the use of idealized or averaged artery models. That otherwise would not exist in the real world.Local hemodynamics are an important factor in atherosclerosis, from the development of early lesions, to the assessment of stroke risk, to determining the ultimate fate of a mature plaque. That did not exist in the training set and provide a way to synthesize videos In addition, we show the qualitative animations of the objects in directions Is superior to the baselines in terms of qualitative and quantitative metrics. We conductĮxtensive experiments on a publicly available dataset and show that our method We devise a novel UNet based architecture toĪutoregressively generate future frames using the refined optical flow map byįorward-warping the input image features at different resolutions. Optical flow map FD using a generative-adversarial network (GAN) to obtain a The plausible motion of elements in the image. That FD, obtained using simple exponential operations can closely approximate Into a dense flow map representing a constant optical flow map (FD). The user-provided input arrowĭirections, their corresponding speed values, and the mask are then converted ![]() Mask of the regions the user wants to animate. Provide any number of arrow directions and their associated speeds along with a Prior works, we represent the motion of such fluid elements in the image in theįorm of a constant 2D optical flow map. Of repeating textures and continuous fluid motion. Specifically, we focus on theĪnimation of fluid elements like water, smoke, fire, which have the properties In still images to generate cinemagraphs. Download a PDF of the paper titled Controllable Animation of Fluid Elements in Still Images, by Aniruddha Mahapatra and Kuldeep Kulkarni Download PDF Abstract: We propose a method to interactively control the animation of fluid elements
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