支架在动脉瘤中数值模拟的压力降和流动偏转模型数据集

用于颅内动脉瘤支架血流导向装置数值模拟的压力降和流动偏转模型数据集。

WileyWiley
DataCite Commons
2020-08-31 更新
浏览 22
其他aneurysmstentscreen modelCFDlattice BoltzmannBiological EngineeringNumerical Analysis
Dataset for: Model for pressure drop and flow deflection in the numerical simulation of stents in aneurysm

基本信息

模态
其他
大小
0.066815142 GB
许可
CC0
创建/更新时间
2020-08-31
版本
v1

资源简介

支架在动脉瘤中数值模拟的压力降和流动偏转模型数据集

【一句话概览】

本数据集是 figshare 公开数据集,收录 3 个文件、合计 66.82 MB,主题涵盖 aneurysm、stent、screen model、CFD、lattice Boltzmann,源站分类为 Agricultural biotechnology not elsewhere classified、Numerical analysis,CC0 许可开放获取。

【数据集背景】

本数据集源站标题为《Dataset for: Model for pressure drop and flow deflection in the numerical simulation of stents in aneurysm》。配套论文《Model for pressure drop and flow deflection in the numerical simulation of stents in aneurysms》发表于 International Journal for Numerical Methods in Biomedical Engineering(2018),DOI:10.1002/cnm.2949。源站首次发布:2018-01-30。

【数据内容】

源站原始描述:The numerical simulation of flow diverters like stents contributes to the development and improvement of endovascular stenting procedures, leading ultimately to an improved treatment of intracranial aneurysms. Due to the scale difference between the struts of flow diverters and the full artery, it is common to avoid fully resolved simulations at the level of the stent porosity. Instead, the effect of stents on the flow is represented by a heuristic continuum model. However, the commonly used por…

【数据结构与技术规格】

文件数 3 个,合计 66.82 MB。数据集 DOI:10.6084/m9.figshare.5643214.v1。

【主题与分类】

源站学科分类:Agricultural biotechnology not elsewhere classified、Numerical analysis。主题标签:aneurysm、stent、screen model、CFD、lattice Boltzmann、Biological Engineering、Numerical Analysis。

【适用方向】

源站学科分类标注为 Agricultural biotechnology not elsewhere classified、Numerical analysis。

【获取与许可】

源站页面:https://wiley.figshare.com/articles/dataset/Dataset_for_Model_for_pressure_drop_and_flow_deflection_in_the_numerical_simulation_of_stents_in_aneurysm/5643214

使用许可:CC0(https://creativecommons.org/publicdomain/zero/1.0/)。

规范引用:Li, Sha; Latt, Jonas; Chopard, Bastien (2018). Dataset for: Model for pressure drop and flow deflection in the numerical simulation of stents in aneurysm. Wiley. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "straight channel.rar" "https://ndownloader.figshare.com/files/9831535"
curl -L -o "aneurysm_withoutStent.rar" "https://ndownloader.figshare.com/files/9831538"
curl -L -o "aneurysm_force.rar" "https://ndownloader.figshare.com/files/9831541"

文件清单

  • straight channel.rar(50.27 MB)
  • aneurysm_withoutStent.rar(8.30 MB)
  • aneurysm_force.rar(8.24 MB)

文件总体积 66.82 MB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

The numerical simulation of flow diverters like stents contributes to the development and improvement of endovascular stenting procedures, leading ultimately to an improved treatment of intracranial aneurysms. Due to the scale difference between the struts of flow diverters and the full artery, it is common to avoid fully resolved simulations at the level of the stent porosity. Instead, the effect of stents on the flow is represented by a heuristic continuum model. However, the commonly used porous media models describe the properties of flow diverters only partially, because they do not explicitly account for the deflection of the flow direction by the stent. We show that this deficiency can be circumvented by adopting the theoretical framework of screen models. The article first reviews existing screen models. It then proposes an explicit formula for the drag and the deflection coefficient, as predicted by each model, for both perpendicular and inclined angles. The results of 2D numerical simulations are used to formulate a generalization of these formulas, to achieve best results in the case of stent modeling. The obtained model is then validated, again through 2D numerical simulation.

许可

CC0

引用

学术使用请引用 DOI 10.6084/m9.figshare.5643214.v1(source: https://wiley.figshare.com/articles/dataset/Dataset_for_Model_for_pressure_drop_and_flow_deflection_in_the_numerical_simulation_of_stents_in_aneurysm/5643214)。

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