scholarly journals The Vascular Model Repository: A Public Resource of Medical Imaging Data and Blood Flow Simulation Results

2013 ◽  
Vol 7 (4) ◽  
Author(s):  
Nathan M. Wilson ◽  
Ana K. Ortiz ◽  
Allison B. Johnson
Keyword(s):  
Blood Flow ◽  
Treatment Options ◽  
Unmet Need ◽  
Flow Simulation ◽  
Image Data ◽  
Patient Specific ◽  
Imaging Data ◽  
Blood Institute ◽  
Medical Software ◽  
Simulation Results

Patient-specific blood flow simulations may provide insight into disease progression, treatment options, and medical device design that would be difficult or impossible to obtain experimentally. However, publicly available image data and computer models for researchers and device designers are extremely limited. The National Heart, Lung, and Blood Institute sponsored Open Source Medical Software Corporation (contract nos. HHSN268200800008C and HHSN268201100035C) and its university collaborators to build a repository (www.vascularmodel.org) including realistic, image-based anatomic models and related hemodynamic simulation results to address this unmet need.

The Vascular Model Repository: A Public Resource of Medical Imaging Data and Blood Flow Simulation Results

2013 ◽  
Author(s):  
Nathan M. Wilson ◽  
Ana K. Ortiz ◽  
Allison B. Johnson
Keyword(s):  
Blood Flow ◽  
Treatment Options ◽  
Unmet Need ◽  
Flow Simulation ◽  
Image Data ◽  
Patient Specific ◽  
Imaging Data ◽  
Medical Software ◽  
Public Resource ◽  
Simulation Results

Patient-specific blood flow simulations may provide insight into disease progression, treatment options, and medical device design that would be difficult or impossible to obtain experimentally. However, publicly available image data and computer models for researchers and device designers are extremely limited. The NHLBI sponsored Open Source Medical Software Corporation (Contracts No: HHSN268200800008C & HHSN268201100035C) and its university collaborators to build a public repository including realistic, image-based anatomic models and related hemodynamic simulation results to address this unmet need.

A Public Repository of Image-Based Computational Models and Patient-Specific Blood Flow Simulation Results

2013 ◽  
Author(s):  
Nathan M. Wilson ◽  
Ana K. Ortiz ◽  
Allison B. Johnson ◽  
Jeffrey A. Feinstein ◽  
John F. LaDisa ◽  
...  
Keyword(s):  
Blood Flow ◽  
Computational Models ◽  
Flow Simulation ◽  
Patient Specific ◽  
Public Repository ◽  
Blood Flow Simulation ◽  
Medical Software ◽  
Anatomic Models ◽  
Hemodynamic Simulation ◽  
Simulation Results

To significantly increase publicly available clinical data for blood flow simulation research, the NHLBI sponsored Open Source Medical Software Corporation (Contracts No: HHSN268200800008C & HHSN268201100035C) and its university collaborators to build a public repository to include realistic, image-based anatomic models and related hemodynamic simulation results. The ultimate goal of this effort is to include over 100 medical image data sets, anatomic models, and hemodynamic simulation results in a public repository.

Does the DSA reconstruction kernel affect hemodynamic predictions in intracranial aneurysms? An analysis of geometry and blood flow variations

2017 ◽  
Vol 10 (3) ◽  
pp. 290-296 ◽  
Author(s):  
P Berg ◽  
S Saalfeld ◽  
S Voß ◽  
T Redel ◽  
B Preim ◽  
...  
Keyword(s):  
Blood Flow ◽  
Intracranial Aneurysms ◽  
Three Dimensional ◽  
Patient Specific ◽  
Parent Artery ◽  
Imaging Data ◽  
Specific Flow ◽  
Aneurysm Neck ◽  
Velocity Magnitude ◽  
Reconstruction Kernel

BackgroundComputational fluid dynamics (CFD) blood flow predictions in intracranial aneurysms promise great potential to reveal patient-specific flow structures. Since the workflow from image acquisition to the final result includes various processing steps, quantifications of the individual introduced potential error sources are required.MethodsThree-dimensional (3D) reconstruction of the acquired imaging data as input to 3D model generation was evaluated. Six different reconstruction modes for 3D digital subtraction angiography (DSA) acquisitions were applied to eight patient-specific aneurysms. Segmentations were extracted to compare the 3D luminal surfaces. Time-dependent CFD simulations were carried out in all 48 configurations to assess the velocity and wall shear stress (WSS) variability due to the choice of reconstruction kernel.ResultsAll kernels yielded good segmentation agreement in the parent artery; deviations of the luminal surface were present at the aneurysm neck (up to 34.18%) and in distal or perforating arteries. Observations included pseudostenoses as well as noisy surfaces, depending on the selected reconstruction kernel. Consequently, the hemodynamic predictions show a mean SD of 11.09% for the aneurysm neck inflow rate, 5.07% for the centerline-based velocity magnitude, and 17.83%/9.53% for the mean/max aneurysmal WSS, respectively. In particular, vessel sections distal to the aneurysms yielded stronger variations of the CFD values.ConclusionsThe choice of reconstruction kernel for DSA data influences the segmentation result, especially for small arteries. Therefore, if precise morphology measurements or blood flow descriptions are desired, a specific reconstruction setting is required. Furthermore, research groups should be encouraged to denominate the kernel types used in future hemodynamic studies.

Development of a Numerical Model for Micro-Scale Blood Flow Simulation Using GPGPU

2012 ◽  
Author(s):  
Naoki Takeishi ◽  
Yohsuke Imai ◽  
Keita Nakaaki ◽  
Takuji Ishikawa ◽  
Takami Yamaguchi
Keyword(s):  
Blood Flow ◽  
Gpu Computing ◽  
Flow Simulation ◽  
Patient Specific ◽  
Immersed Boundary ◽  
Processing Unit ◽  
Computational Domain ◽  
Membrane Mechanics ◽  
Flow Simulations ◽  
Micro Scale

Computational fluid dynamics (CFD) study of the behavior of red blood cells (RBCs) in flow provides us informative insight into the mechanics of blood flow in microvessels. However, the size of computational domain is limited due to computational expense. Recently, we proposed a graphics processing unit (GPU) computing method for patient-specific pulmonary airflow simulations (Miki et al., in press). In this study, we extend this method to micro-scale blood flow simulations, where a lattice Boltzmann method (LBM) of fluid mechanics is coupled with a finite element method (FEM) of membrane mechanics by an immersed boundary method (IBM). We also present validation and performance of our method for micro-scale blood flow simulations.

scholarly journals Vascular flow simulations using SimVascular and OpenFOAM

2021 ◽  
Author(s):  
Swetha Yogeswaran ◽  
Fei Liu
Keyword(s):  
Fluid Dynamics ◽  
Blood Flow ◽  
Open Source ◽  
Open Source Software ◽  
Flow Analysis ◽  
Coarctation Of The Aorta ◽  
Patient Specific ◽  
Specific Information ◽  
Imaging Data ◽  
Set Up

AbstractApplications of computational fluid dynamics (CFD) techniques to aid in the diagnosis and treatment of cardiovascular disease have entered the research domain in recent years, due to their ability to provide valuable patient-specific information without risks associated with highly invasive procedures. SimVascular [1] [2] is an open-source software which allows streamlined processing and CFD blood flow analysis of medical imaging data. OpenFOAM [3] is a proven open-source software which allows for versatile modeling of various fluid dynamics phenomena. In this study, both SimVascular and OpenFOAM simulations are set up with identical computational mesh, similar numerical schemes, boundary conditions, and material properties, to model blood flow in the coronary artery of a 10 year old patient with Coarctation of the Aorta (CoA) who underwent end-to-side anastomosis. Difference in the flow fields such as flow rate, pressure, vorticity, and wall shear stress between SimVascular and OpenFOAM are analyzed. Similar results are obtained in both simulations up to a certain model time, before the results become drastically different. Both the similarities and differences are documented and discussed.

CFD Challenge: Solutions Using the Commercial Solver Fluent and the Open-Source Solver OpenFOAM

2012 ◽  
Author(s):  
P. Berg ◽  
G. Janiga ◽  
D. Thévenin
Keyword(s):  
Blood Flow ◽  
Cerebral Aneurysms ◽  
Flow Simulation ◽  
Patient Specific ◽  
Post Processing ◽  
Close Collaboration ◽  
Blood Flow Simulation ◽  
Unsteady Blood Flow ◽  
Commercial Solver ◽  
Considerable Experience

During the last decade, the research group in Magdeburg investigated the hemodynamics in cerebral aneurysms in close collaboration with experts from the fields of visualization and neuroradiology. Thanks to this, a considerable experience has been collected concerning unsteady blood flow simulation and analyses, involving a steadily increasing number of patient-specific aneurysms. Intermediate results have been presented at several VISC challenges. The simulations regarding this CFD Challenge as well as the post-processing have been carried out by the doctoral student Philipp Berg.

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