儿童囊性纤维化患者肺T1-MRI评估

数据集获取

源站：https://clinicaltrials.gov/study/NCT04994301

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. This is a prospective study with 3 study visits to evaluate the utility of Magnetic Resonance Imaging (MRI) and clinical lung function assessments to detect changes in Cystic Fibrosis (CF) patients before and after administration of the FDA-approved Trikafta therapy. The 3 study visits include: Visit 1: Before starting Trikafta Visit 2: 3 months from start of Trikafta Visit 3: 6 months from start of Trikafta Along with the clinical assessments (MBW and Spirometry), all participants will undergo an MRI scan of the lungs to generate quantitative lung T1 maps. The investigators will compare the lung T1 MRI (% Normal Lung Perfusion) to Multiple Breath Washout (LCI) and spirometry (FEV1 % Predicted) as methods to assess lung changes with administration of Trikafta. The investigators will obtain additional clinical assessments from participant’s medical records. This is a multi-site study involving 3 sites.

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。