颅缝早闭手术的增强现实可视化数据集

包含增强现实系统用于颅缝早闭手术引导的虚拟模型、术中标记和3D摄影数据,及体模和真实手术验证。

Mendeley Data
2024-06-25 更新
浏览 14
多模态Augmented realityvisualisationcomputer-assisted surgerycraniosynostosis
Augmented reality visualization for craniosynostosis surgery

基本信息

模态
多模态
大小
0.005025896 GB
许可
CC BY 4.0
创建/更新时间
2024-06-25
版本
v1

资源简介

颅缝早闭手术的增强现实可视化数据集

【一句话概览】

本数据集是 figshare 公开的多模态数据集,收录 2 个文件、合计 5.03 MB,主题涵盖 Augmented reality、visualisation、computer-assisted surgery、craniosynostosis,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《Augmented reality visualization for craniosynostosis surgery》。配套论文《Augmented reality visualization for craniosynostosis surgery》发表于 Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization(2020),DOI:10.1080/21681163.2020.1834876。项目资助方:Supported by projects PI18/01625 (Ministerio de Ciencia, Innovación y Universidades, Instituto de Salud Carlos III and European Regional Development Fund ‘Una manera de hacer Europa’) and IND2018/TIC-9753 (Comunidad de Madrid).。源站首次发布:2021-07-26。

【数据内容】

源站原始描述:Current approaches for surgical correction of craniosynostosis are highly dependent on the experience of the surgeon and inaccuracies during cranial vault remodelling can compromise the surgical outcome. The objective of this study is the evaluation of a novel augmented reality system to guide surgeons during fronto-orbital advancement procedures. A smartphone software application was developed to overlay virtual models on the surgical field using augmented reality technology. Intraoperative mar…

【数据结构与技术规格】

文件数 2 个,合计 5.03 MB。Supplementary file_1834876.pdf:application/pdf,216.60 KB。SupplementaryVideo_1_compressed.mp4:video/mp4,4.81 MB。数据集 DOI:10.6084/m9.figshare.15057221.v1。

【主题与分类】

源站学科分类:Medicine、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified、Cancer。主题标签:Augmented reality、visualisation、computer-assisted surgery、craniosynostosis。

【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://tandf.figshare.com/articles/dataset/Augmented_reality_visualization_for_craniosynostosis_surgery/15057221

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Augmented reality visualization for craniosynostosis surgery. Taylor & Francis. García-Mato, David; Moreta-Martínez, Rafael; García-Sevilla, Mónica; Ochandiano, Santiago; García-Leal, Roberto; Pérez-Mañanes, Rubén; et al

【使用注意】

· 源站最后修改于 2023-06-01,引用时请注意版本时效。

官方服务

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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 "Supplementary file_1834876.pdf" "https://ndownloader.figshare.com/files/28954553"
curl -L -o "SupplementaryVideo_1_compressed.mp4" "https://ndownloader.figshare.com/files/28954556"

文件清单

  • Supplementary file_1834876.pdf(216.60 KB)
  • SupplementaryVideo_1_compressed.mp4(4.81 MB)

文件总体积 5.03 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

Current approaches for surgical correction of craniosynostosis are highly dependent on the experience of the surgeon and inaccuracies during cranial vault remodelling can compromise the surgical outcome. The objective of this study is the evaluation of a novel augmented reality system to guide surgeons during fronto-orbital advancement procedures. A smartphone software application was developed to overlay virtual models on the surgical field using augmented reality technology. Intraoperative markers and 3D photography are used to ensure accurate alignment between the virtual data and patient anatomy. The system was evaluated through simulations on patient-specific phantoms and the workflow was tested on two real surgeries. Results of this study demonstrate the accuracy of the AR visualisation to guide osteotomy and remodelling during fronto-orbital advancement. Feedback from 9 surgeons supports the integration of this technology on the surgical workflow for the treatment of craniosynostosis to accurately translate the virtual plan into the operating room.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.15057221.v1(source: https://tandf.figshare.com/articles/dataset/Augmented_reality_visualization_for_craniosynostosis_surgery/15057221)。

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