健康儿童与轻度囊性纤维化肺病儿童的19F MRI研究

数据集获取

源站：https://clinicaltrials.gov/study/NCT06066723

标准获取流程：

1. 访问源站链接，注册/登录账号；
2. 进入数据集详情页，按页面指引申请权限或直接下载；
3. 部分平台提供 SDK，例如：
   • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
   • ModelScope: pip install modelscope 后 modelscope download
   • 天池: 登录后页面提供直链下载
     以源站「数据下载/使用文档」页面为准。

数据说明

Conditions: Cystic Fibrosis in Children. This study capitalizes on the emerging technology of 19F MRI, using conventional ‘thermally’ polarized perfluorinated gas (perfluoropropane, or PFP) mixed with oxygen and studied with magnetic resonance imaging (MRI) to visualize ventilation. This technique has not been studied in children. Children and adolescents (6-17 years old) with cystic fibrosis (CF) who have normal spirometry will undergo 19F MRI with the inhalation of an inert contrast gas to study ventilation. Comparisons will be made to a cohort of healthy children (6-17 years old) who will perform the same measures. The primary outcome measure is the feasibility of conducting these studies in the pediatric population. Parallel performance of multiple breath nitrogen washout (MBW) and spirometry will be used to compare the sensitivity of these outcomes to the presence of mild lung disease in these children. Finally, the investigators will compare data obtained during standard breath holds with a novel “free-breathing” technique that will eliminate the need for breath holds during MRI acquisition.

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。