3D打印在主动脉血管内修复与主动脉瓣疾病术前规划及训练中的应用
基于CT图像构建主动脉疾病3D打印原型,用于主动脉手术的术前规划与医生培训。

基本信息
资源简介
3D打印在主动脉血管内修复与主动脉瓣疾病术前规划及训练中的应用
【一句话概览】
本数据集是 figshare 公开的多模态数据集,收录 21 个文件、合计 4.17 MB,主题涵盖 Aorta/Surgery、Aorta, Thoracic、Endovascular Procedures、Aneurysm、Aneurysm, Dissecting,可用于跨模态对齐与融合建模研究,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Use of 3D Printing in Preoperative Planning and Training for Aortic Endovascular Repair and Aortic Valve Disease》。配套论文《Use of 3D Printing in Preoperative Planning and Training for Aortic Endovascular Repair and Aortic Valve Disease》发表于 Brazilian Journal of Cardiovascular Surgery(2018),DOI:10.21470/1678-9741-2018-0101。源站首次发布:2018-12-05。
【数据内容】
源站原始描述:Abstract Introduction: Three-dimensional (3D) printing has become an affordable tool for assisting heart surgeons in the aorta endovascular field, both in surgical planning, education and training of residents and students. This technique permits the construction of physical prototypes from conventional medical images by converting the anatomical information into computer aided design (CAD) files. Objective: To present the 3D printing feature on developing prototypes leading to improved aortic e…
【数据结构与技术规格】
文件数 21 个,合计 4.17 MB。数据集 DOI:10.6084/m9.figshare.7420946.v1。
【主题与分类】
源站学科分类:Cardiology、Surgery。主题标签:Aorta/Surgery、Aorta, Thoracic、Endovascular Procedures、Aneurysm、Aneurysm, Dissecting、Imaging, Three-Dimensional、Models, Cardiovascular。
【适用方向】
多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。
【获取与许可】
源站页面:https://scielo.figshare.com/articles/dataset/Use_of_3D_Printing_in_Preoperative_Planning_and_Training_for_Aortic_Endovascular_Repair_and_Aortic_Valve_Disease/7420946
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Gomes, Eduardo Nascimento; Dias, Ricardo Ribeiro; Rocha, Bruno Aragão; Santiago, José Augusto Duncan; Dinato, Fabrício José de Souza; Saadi, Eduardo Keller; et al. (2018). Use of 3D Printing in Preoperative Planning and Training for Aortic Endovascular Repair and Aortic Valve Disease. SciELO journal…
【使用注意】
· 源站最后修改于 2023-06-01,引用时请注意版本时效。
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)
- 源站标题:Use of 3D Printing in Preoperative Planning and Training for Aortic Endovascular Repair and Aortic Valve Disease
- DOI:10.6084/m9.figshare.7420946.v1
- 发布日期:2018-12-05
- 文件数:21 个
- 文件总体积:4.17 MB
- 源站页面:https://scielo.figshare.com/articles/dataset/Use_of_3D_Printing_in_Preoperative_Planning_and_Training_for_Aortic_Endovascular_Repair_and_Aortic_Valve_Disease/7420946
命令行下载
curl -L -o "0102-7638-rbccv-33-05-0490-gf01.jpg" "https://ndownloader.figshare.com/files/13743365"
curl -L -o "0102-7638-rbccv-33-05-0490-gf02.jpg" "https://ndownloader.figshare.com/files/13743368"
curl -L -o "0102-7638-rbccv-33-05-0490-gf03.jpg" "https://ndownloader.figshare.com/files/13743371"
curl -L -o "0102-7638-rbccv-33-05-0490-gf04.jpg" "https://ndownloader.figshare.com/files/13743374"
curl -L -o "0102-7638-rbccv-33-05-0490-gf05.jpg" "https://ndownloader.figshare.com/files/13743377"
curl -L -o "0102-7638-rbccv-33-05-0490-gf06.jpg" "https://ndownloader.figshare.com/files/13743380"
curl -L -o "0102-7638-rbccv-33-05-0490-gf07.jpg" "https://ndownloader.figshare.com/files/13743383"
curl -L -o "0102-7638-rbccv-33-05-0490-gf08.jpg" "https://ndownloader.figshare.com/files/13743386"
文件清单
0102-7638-rbccv-33-05-0490-gf01.jpg(285.31 KB)0102-7638-rbccv-33-05-0490-gf02.jpg(710.67 KB)0102-7638-rbccv-33-05-0490-gf03.jpg(149.60 KB)0102-7638-rbccv-33-05-0490-gf04.jpg(348.35 KB)0102-7638-rbccv-33-05-0490-gf05.jpg(231.03 KB)0102-7638-rbccv-33-05-0490-gf06.jpg(301.36 KB)0102-7638-rbccv-33-05-0490-gf07.jpg(164.66 KB)0102-7638-rbccv-33-05-0490-gf08.jpg(360.28 KB)0102-7638-rbccv-33-05-0490-gf09.jpg(141.08 KB)0102-7638-rbccv-33-05-0490-gf10.jpg(185.22 KB)0102-7638-rbccv-33-05-0490-gf11.jpg(221.71 KB)0102-7638-rbccv-33-05-0490-gf17.jpg(54.39 KB)0102-7638-rbccv-33-05-0490-gf18.jpg(55.45 KB)0102-7638-rbccv-33-05-0490-gf12.jpg(176.63 KB)0102-7638-rbccv-33-05-0490-gf13.jpg(172.06 KB)0102-7638-rbccv-33-05-0490-gf19.jpg(56.56 KB)0102-7638-rbccv-33-05-0490-gf14.jpg(160.41 KB)0102-7638-rbccv-33-05-0490-gf15.jpg(145.52 KB)0102-7638-rbccv-33-05-0490-gf16.jpg(235.56 KB)Table_1.xls(5.63 KB)
文件总体积 4.17 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
Abstract Introduction: Three-dimensional (3D) printing has become an affordable tool for assisting heart surgeons in the aorta endovascular field, both in surgical planning, education and training of residents and students. This technique permits the construction of physical prototypes from conventional medical images by converting the anatomical information into computer aided design (CAD) files. Objective: To present the 3D printing feature on developing prototypes leading to improved aortic endovascular surgical planning, as well as transcatheter aortic valve implantation, and mainly enabling training of the surgical procedure to be performed on patient’'s specific condition. Methods: Six 3D printed real scale prototypes were built representing different aortic diseases, taken from real patients, to simulate the correction of the disease with endoprosthesis deployment. Results: In the hybrid room, the 3D prototypes were examined under fluoroscopy, making it possible to obtain images that clearly delimited the walls of the aorta and its details. The endovascular simulation was then able to be performed, by correctly positioning the endoprosthesis, followed by its deployment. Conclusion: The 3D printing allowed the construction of aortic diseases realistic prototypes, offering a 3D view from the two-dimensional image of computed tomography (CT) angiography, allowing better surgical planning and surgeon training in the specific case beforehand.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.7420946.v1(source: https://scielo.figshare.com/articles/dataset/Use_of_3D_Printing_in_Preoperative_Planning_and_Training_for_Aortic_Endovascular_Repair_and_Aortic_Valve_Disease/7420946)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
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