Head_CT_Morph/WebSite/README.md

Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/b9650cf9-3b26-4e84-a699-78ba380bb4db

Run Locally

Prerequisites: Node.js, Python 3.8+

1. Install Python dependencies in the project root: pip install -r ../requirements.txt
2. Install website dependencies: npm install
3. Start the local Python backend: npm run backend
4. In another terminal, run the website: npm run dev

The website talks to http://127.0.0.1:8787 and maps UI actions to:

• head_extension_app.py: preview and four-state DICOM deformation output
• generate_head_extension_video.py: 0° to target-angle MP4 generation
• video_generator_app.py: kept as the desktop GUI wrapper for the same video generator

Data Flow

The Image Library is now the source of DICOM data for the workstation:

1. Open 数据影像库.
2. Click 上传文件夹 to choose a folder that contains .dcm files, or click 上传压缩包 to upload a .zip archive containing .dcm files.
3. Click 调阅工作站 on a library item.
4. The 影像变换工作站 will run preview, four-state deformation, and video generation from that selected library dataset.
5. Four-state deformation results are packaged by the backend as a downloadable .zip file under ../web_results/.
6. Generated videos are also written under ../web_results/ and exposed as downloadable .mp4 files.

Uploaded DICOM datasets are stored by the local backend under ../web_library/.